GGUF Capability and Evidence Catalog

Created: 2026-03-18 · Last updated: 2026-09-03

This generated reference records exhaustive GGUF capability verdicts, closure statistics, immutable artifact identities, and evidence gaps. It is intended for maintainers and machine review; see build_from_gguf() for user instructions.

The model catalog covers HuggingFace model registrations. It does not imply GGUF import or runtime support; those capability-specific claims live only here.

Pinned source: ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 (2026-08-23T16:59:42Z).

Census	Total	Closure
Architectures	148	graph verdicts: {‘deferred’: 41, ‘rejected’: 2, ‘supported’: 105}; importable: 105; quantized import: {‘rejected’: 47, ‘supported’: 101}; runtime: {‘deferred’: 135, ‘rejected’: 2, ‘supported’: 11}
Active stored qtypes	25	24 have an import route; 1 are explicitly deferred with no route
Serialized projector strings	60	{‘graph-importable’: 56, ‘runtime-evidenced’: 0}
Tokenizer pre identifiers	87	56 semantic groups; route dispositions: {‘deferred-compiled-semantics’: 45, ‘deferred-pinned-artifact-evidence’: 4, ‘deferred-pinned-artifact-mismatch’: 7, ‘validated-pinned-source’: 31}

SUPPORTED means the named capability is implemented and mechanically tested. DEFERRED means it is intentionally unavailable pending the stated work. REJECTED means the input or route is invalid by policy. Graph support controls export. The separate runtime verdict records pinned real-artifact validation, independent parity, and deterministic generation or stateful semantics; it never gates export of a faithfully represented graph and package contract. Tokenizer copy requires embedded ordered-vocabulary identity; pinned-source also binds the complete GGUF artifact, immutable Hub assets, reconstruction policy, semantic hashes, and representative token-ID vectors.

Runtime evidence

The first low-cost architecture batch promotes GPT-2, GPT-NeoX/Pythia, MPT, OLMo, StarCoder, and StarCoder2 using 334,238,976 bytes of GGUF payload and 346,825,051 download bytes including tokenizer assets. Every route is explicit-float only. The network-free selection, budget, exclusions, and fail-closed candidate reasons are recorded in testdata/evidence/gguf_low_cost_runtime_batch.json.

Evidence ID	GGUF identity	Config identity	Tokenizer identity	Runtime proof
apertus-v1.1-1.5b-instruct-bf16-ort-genai-0.15.2	MrMeOrYou/Apertus-v1.1-1.5B-Instruct-GGUF@88c75ad49566d3c2157d03709bf772262c3241ed Apertus-v1.1-1.5B-Instruct-BF16.gguf 3,028,052,608 B f9ec154d0ec29dad1f6465b458b7f27bd25ad7b9a3899233ae98ca6d358501c2	swiss-ai/Apertus-v1.1-1.5B-Instruct@9e9d01154446a645d30f04174cf1515a38058be7	swiss-ai/Apertus-v1.1-1.5B-Instruct@9e9d01154446a645d30f04174cf1515a38058be7 chat_template.jinja 5,250 B 4afab8361a4bd0c2994404e0b0851dbaad461a06e56bdfdb635aae3977473c19, special_tokens_map.json 560 B 9f69883bd70fc5d8b55822799837a216d3ac4fb565e05256a0d4f9850404bbc5, tokenizer.json 17,078,368 B be12f4375d655cc740864e3a9041bcddd8477942f209d9e7f27f6c8767162638, tokenizer_config.json 177,274 B 77b14a0664585c26065f07d7a4c852a4615c83348d9378e23def01957bbd3f57 metadata 3097bd9f22efd32db9045c4705d978539dc8adeeae763324062a5e1a73fc24a5	ONNX Runtime 1.29.0 CPUExecutionProvider; ort-genai 0.15.2; result=passed; full-logit; dynamic KV cache prefill, full-sequence replay, rollback, reorder, and 20 decode steps
gpt2-q2-k-ort-genai-0.15.2	tensorblock/gpt2-GGUF@5b01870b15c4b2e43695d7f3f3bfb5b26106f23b gpt2-Q2_K.gguf 81,196,544 B 4234545f917ec1df10dab4d926796a83422b68e9010d85a4c111b8b541f32892	openai-community/gpt2@607a30d783dfa663caf39e06633721c8d4cfcd7e	Xenova/gpt2@bf2c7f02e0b826c60d03af341171bde20893da66 special_tokens_map.json 99 B 6f50ab5a5a509a1c309d6171f339b196a900dc9c99ad0408ff23bb615fdae7ad, tokenizer.json 2,107,653 B cda20b8ca044949aa07ac4078420c80d1a57139d5f9f33700e46fb2d891e7c66, tokenizer_config.json 234 B 551e26ec611d8d0c8edc3ef72e518a38418cb71f40de1347dd486a595e1557d7 metadata b2417176025f8500d864004b0bf93b1403dc3c52238f6628f82fb0e3c498977e	ONNX Runtime 1.29.0 CPUExecutionProvider; ort-genai 0.15.2; result=passed; full-logit; dynamic KV cache prefill, full-sequence replay, rollback, reorder, and 20 decode steps; Explicit-float correctness route; source GGUF blocks are dequantized.
lfm2-350m-f16-ort-genai-0.15.2	LiquidAI/LFM2-350M-GGUF@8fdc9d526b7ed346b19257551b05816c7912ecc2 LFM2-350M-F16.gguf 711,482,304 B 379ffdcbf08147c0313f6f1ce7ff558a2bc935eda633f4b46c52347032419c42	LiquidAI/LFM2-350M@f37d3f5c8c5484bc01dad379a595cf4c68c4e70e	LiquidAI/LFM2-350M@73e3c253078a3b97c2e14b4c4665679f4d9b6d56 chat_template.jinja 209 B a805e50fed68938a076b07e2e602639611b50b1ced0e50f11eb92f1ba25be4dc, special_tokens_map.json 434 B 742aefe2b7dec496e8caffdba03a75d0c1a9925d53bd3f3e0d388c96b591b6f4, tokenizer.json 4,732,426 B 98cff83b4f6d7e9d8929bebc62b07e92cf1b3f99c80d16bafe8b84a75448f40b, tokenizer_config.json 91,509 B 36f511115e9d8952cbc9d15d9a20dfa7ce7d1444940e5c1dc42a762020c99bf5 metadata e5626d605bb50bc53fdb0fbfcf374fb33dfbaa0cc698d9746ba1e9b0b7e6d07d	ONNX Runtime 1.29.0 CPUExecutionProvider; ort-genai 0.15.2; result=passed; full-logit; hybrid convolution and KV state prefill, replay, rollback, reorder, and 20 decode steps
pythia-70m-q2-k-ort-genai-0.15.2	mradermacher/pythia-70m-GGUF@52d6f045404c9f93418df2a0144d20c9de34316b pythia-70m.Q2_K.gguf 38,508,192 B 8e331c8c8016bed8ff1863b78fafe51e86b2364f32c2d7f3e201687e081cf7f7	EleutherAI/pythia-70m@a39f36b100fe8a5377810d56c3f4789b9c53ac42	EleutherAI/pythia-70m@a39f36b100fe8a5377810d56c3f4789b9c53ac42 special_tokens_map.json 99 B 6f50ab5a5a509a1c309d6171f339b196a900dc9c99ad0408ff23bb615fdae7ad, tokenizer.json 2,113,710 B c24618a1b3e6a38167beff1c72cffd126c3a66254347304b50547d12c5f25624, tokenizer_config.json 396 B 70e38394e494931c6f773ba41e19460dd4436526b852207367f04341b4066d3f metadata d5c722f646ff6462ac217da5e3514d1fa8b4a7b33aedced3daa8e7f00cc74f78	ONNX Runtime 1.29.0 CPUExecutionProvider; ort-genai 0.15.2; result=passed; full-logit; dynamic KV cache prefill, full-sequence replay, rollback, reorder, and 20 decode steps; Explicit-float correctness route on the portable graph; source GGUF blocks are dequantized and the pinned tokenizer vocabulary is extended only with deterministic padding IDs present in the GGUF.
qwen2.5-0.5b-instruct-q8-ort-genai-0.15.2	Qwen/Qwen2.5-0.5B-Instruct-GGUF@9217f5db79a29953eb74d5343926648285ec7e67 qwen2.5-0.5b-instruct-q8_0.gguf 675,710,816 B ca59ca7f13d0e15a8cfa77bd17e65d24f6844b554a7b6c12e07a5f89ff76844e	Qwen/Qwen2.5-0.5B-Instruct@7ae557604adf67be50417f59c2c2f167def9a775	Qwen/Qwen2.5-0.5B-Instruct@a338b55dd21219a5f4da42bc11a9313d1a27d4cc tokenizer.json 7,031,645 B c0382117ea329cdf097041132f6d735924b697924d6f6fc3945713e96ce87539, tokenizer_config.json 7,308 B 5214600ee45ca2f887ce2eede8910378a0111ea99d657428bcbce94778e65a92 metadata 8fc8ef848104e931f14ae03d9581699d54813a2ff952fb7caac0654e8aa27ee3	ONNX Runtime 1.29.0 CPUExecutionProvider; ort-genai 0.15.2; result=passed; full-logit; dynamic KV cache prefill, replay, rollback, reorder, and 20 decode steps
qwen3.5-moe-0.87b-q2-k-ort-genai-0.15.2	Flexan/kshitijthakkar-qwen3.5-moe-0.87B-d0.8B-GGUF@a9b8adbec2cc87479c772dac1944f313b4036c26 qwen3.5-moe-0.87B-d0.8B.Q2_K.gguf 626,599,552 B e8a84df1a50ce65cf80c2b55bba8c6e80f913679fdf9e9439f2c3b52ef3145d5	kshitijthakkar/qwen3.5-moe-0.87B-d0.8B@e5b5b3d7c3cc5593196902fd3c23964e891a6ea6	kshitijthakkar/qwen3.5-moe-0.87B-d0.8B@e5b5b3d7c3cc5593196902fd3c23964e891a6ea6 chat_template.jinja 7,755 B 273d8e0e683b885071fb17e08d71e5f2a5ddfb5309756181681de4f5a1822d80, tokenizer.json 12,807,982 B 5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42, tokenizer_config.json 16,709 B 49e2b6e395f959f077f1e992b338919c0d4a9732fc6e613995e06557f843500c metadata 45302b58b2086a666a874652d0e9e1d5b4b26e786ffbaf9362a4f902eba0b10d	ONNX Runtime 1.29.0 CPUExecutionProvider; ort-genai 0.15.2; result=passed; full-logit; hybrid convolution, recurrent, and KV state prefill, replay, rollback, reorder, and 20 cache-threaded decode steps; Explicit-float correctness route only: source quantization is dequantized, dense MoE execution is opt-in, and the selected publisher marks this reduced checkpoint as low quality. Same-value full-logit comparison uses atol=0.35 because small backend differences can cross a routed-expert boundary; all greedy tokens match.
smollm-135m-f16-onnxruntime-1.29.0	neopolita/smollm-135m-gguf@22cca988936eafe92908e7558907c3964e10bba7 ggml-model-f16.gguf 270,885,504 B ec8c775c16944a7e4b5251f97b3f848500dcc3e701b0d492ce9055cea42138a2	HuggingFaceTB/SmolLM-135M@1d461723eec654e65efdc40cf49301c89c0c92f4	HuggingFaceTB/SmolLM-135M@1d461723eec654e65efdc40cf49301c89c0c92f4 special_tokens_map.json 831 B e786b595b9a23148bf1630df78d9037a048ea671e48bfd3549a1e3c233742bb3, tokenizer.json 2,104,556 B 9ca9acddb6525a194ec8ac7a87f24fbba7232a9a15ffa1af0c1224fcd888e47c, tokenizer_config.json 3,685 B 238ad6b60d48e471624ea70bc79e92f2611844d5016471fee8c167854bcb98e8 metadata 46646ba36ecae43de6f9f649d217774b889e0fd405af92205319b882927493fc	ONNX Runtime 1.29.0 CPUExecutionProvider; onnx-genai 1.29.0; result=passed; full-logit; dynamic KV cache prefill plus 20 cache-threaded decode steps
smollm-135m-f16-ort-genai-0.15.2	neopolita/smollm-135m-gguf@22cca988936eafe92908e7558907c3964e10bba7 ggml-model-f16.gguf 270,885,504 B ec8c775c16944a7e4b5251f97b3f848500dcc3e701b0d492ce9055cea42138a2	HuggingFaceTB/SmolLM-135M@1d461723eec654e65efdc40cf49301c89c0c92f4	HuggingFaceTB/SmolLM-135M@1d461723eec654e65efdc40cf49301c89c0c92f4 special_tokens_map.json 831 B e786b595b9a23148bf1630df78d9037a048ea671e48bfd3549a1e3c233742bb3, tokenizer.json 2,104,556 B 9ca9acddb6525a194ec8ac7a87f24fbba7232a9a15ffa1af0c1224fcd888e47c, tokenizer_config.json 3,685 B 238ad6b60d48e471624ea70bc79e92f2611844d5016471fee8c167854bcb98e8 metadata 46646ba36ecae43de6f9f649d217774b889e0fd405af92205319b882927493fc	ONNX Runtime 1.29.0 CPUExecutionProvider; ort-genai 0.15.2; result=passed; full-logit; ORT GenAI prefill plus 20 cache-threaded decode steps
tiny-mpt-q2-k-ort-genai-0.15.2	tensorblock/tiny-mpt-random-remote-code-GGUF@c151eb3f349485ee8ae72841d7d90b9121d5baa2 tiny-mpt-random-remote-code-Q2_K.gguf 8,734,304 B 5627dcb0ff18f6f7200f83c0aed2056a6a7c86b5f2d865833e1b5f00b00e4daa	echarlaix/tiny-mpt-random-remote-code@85e64794e74a6fb2e71e7055c7e0188ccdd32905	echarlaix/tiny-mpt-random-remote-code@85e64794e74a6fb2e71e7055c7e0188ccdd32905 special_tokens_map.json 99 B 6f50ab5a5a509a1c309d6171f339b196a900dc9c99ad0408ff23bb615fdae7ad, tokenizer.json 2,113,738 B 3cf430678137c8491ca82fb7092ee49e44ad38857fffe1e4a4a5ed860139a5b8, tokenizer_config.json 237 B 7671fbb5b3d610e6e11d4f5fc78d3a7716e8846112ac7e0f72124caedf887570 metadata f15522d34f33354bc96d36a73ad4619925240328342d84a156855251c20d43af	ONNX Runtime 1.29.0 CPUExecutionProvider; ort-genai 0.15.2; result=passed; full-logit; dynamic KV cache prefill, full-sequence replay, rollback, reorder, and 20 decode steps; Explicit-float correctness route; source GGUF blocks are dequantized.
tiny-olmo-q2-k-ort-genai-0.15.2	tensorblock/tiny-random-olmo-GGUF@d0ee9498d082d6dc3e730b9765e6e87a9bb5d995 tiny-random-olmo-Q2_K.gguf 33,860,576 B be1c5a22ac0e75cd5874467ffd80bcd2c8500609d3bf7ccdb5b269373e4d6da4	hyper-accel/tiny-random-olmo@88675ef0caa5bd10ece810c0f2a79faa7724f536	hyper-accel/tiny-random-olmo@88675ef0caa5bd10ece810c0f2a79faa7724f536 special_tokens_map.json 293 B a6188c1e366f8ed715e60ff39c46a8c500fc33508e2affeb23e8c547c5853193, tokenizer.json 2,115,417 B a094266ac6c4982efba277bc251349a5a6d6ad37efb39a2a90f53d8be2a40a40, tokenizer_config.json 5,372 B 78a839c7851f14f9fb30e664c2b46166dc0628f2900679e5ec160656f702edff metadata 25efe0090ffe5a6deb777743917fe572548a0f23357f74d8bd9e969cc911fd73	ONNX Runtime 1.29.0 CPUExecutionProvider; ort-genai 0.15.2; result=passed; full-logit; dynamic KV cache prefill, full-sequence replay, rollback, reorder, and 20 decode steps; Explicit-float correctness route; source GGUF blocks are dequantized.
tiny-starcoder-q2-k-ort-genai-0.15.2	RichardErkhov/bigcode_-_tiny_starcoder_py-gguf@fa6f9fdbc134d86d78a3ff9ce08ab14ba33d4718 tiny_starcoder_py.Q2_K.gguf 103,899,456 B aa8c2170bb9172447baba14309916cfc0d901dbffaf10f1448f4f631e10c1f41	bigcode/tiny_starcoder_py@8547527bef0bc927268c1653cce6948c5c242dd1	bigcode/tiny_starcoder_py@8547527bef0bc927268c1653cce6948c5c242dd1 special_tokens_map.json 532 B 0823292e24ea07b89317e9ede9d08da2a1b6c014290c06908a7ad04f1efd6719, tokenizer.json 2,057,395 B 42b5a37ba11199f024f2b8873e1ecba98da33166e16f700bf7cb2304b0a5583f, tokenizer_config.json 677 B 95684c52ad9a970dbbb17576ee2237cb62902c1eff6804c7c91a4d6219a4a6d7 metadata 23379a715b3983ce0f1559645984431bc039c16eaf6e062b7e62bceac6fa64cd	ONNX Runtime 1.29.0 CPUExecutionProvider; ort-genai 0.15.2; result=passed; full-logit; dynamic KV cache prefill, full-sequence replay, rollback, reorder, and 20 decode steps; Explicit-float correctness route; source GGUF blocks are dequantized.
tiny-starcoder2-q2-k-ort-genai-0.15.2	tensorblock/tiny-random-starcoder2-GGUF@82c9eb61d1af6ea00dff834f1ff0620144b333e8 tiny-random-starcoder2-Q2_K.gguf 68,039,904 B ab0a4b4e79c906520808db065a00a317c8b097e2176638b34088975eada6e0ed	hyper-accel/tiny-random-starcoder2@193576733055d2108dc9906d0da6e0806ad9be57	hyper-accel/tiny-random-starcoder2@193576733055d2108dc9906d0da6e0806ad9be57 special_tokens_map.json 1,300 B 0fc9ac706a35e6337b19d484bc8f866b6a0ee7ad2509b03f7305dc0838c82d2c, tokenizer.json 2,060,947 B 17fa145258b20c18287f1e3bd804e074cc13333f11984a2f5a2f11c5110437aa, tokenizer_config.json 7,877 B 8149d8e6b21275ad2cc346885ad92c0e9b5aa3e28a78bb5d39b7febc7e52545d metadata 38608a4848dc8535113cff0312858853a0c8e29a5cdc145f258e4a9d84b35113	ONNX Runtime 1.29.0 CPUExecutionProvider; ort-genai 0.15.2; result=passed; full-logit; dynamic KV cache prefill, full-sequence replay, rollback, reorder, and 20 decode steps; Explicit-float correctness route; source GGUF blocks are dequantized. The tiny source config declares BOS/EOS ID 50256 outside its 49152-token model vocabulary.
hy3-iq1-m-mtp-runtime-unvalidated	combined: AngelSlim/Hy3-GGUF@31b453f4d9b647c74e4c4f5cba632eb512332c91/Hy3-IQ1_M-mtp.gguf 91,756,066,272 B c1fe984fef6f23fd9eb144e41ce6824e3941ed0a8b6b8f9f3e63da0c2a1320c2 total 91,756,066,272 B; above 16 GiB target-only discriminator: Hy3-IQ1_M.gguf 89,446,312,384 B 8c4195718dc24384a38de1c492f4bca7d21447789714d232b0a4d9cd0bb0c806	tencent/Hy3@a960ebc3da325ba167f069f76c41eb62c9280d22 0c9daab42bff9cce1b6f058b10d7b730f76d583e583e28ad56e92b36373246f0	tencent/Hy3@a960ebc3da325ba167f069f76c41eb62c9280d22; separately deferred; metadata bff10dd3b99c0d4098b28fbeb1af46804184cefc2920895969b6f1ad2e548fa3	status=runtime_unvalidated; graph/package hashes unclaimed; ORT 1.29.0 CPUExecutionProvider; ort-genai 0.15.2 source ed5f4e87147731e5b07810f9f5c90103b3603cdf; The smallest pinned public complete Hunyuan-V3 MTP artifact is 91,756,066,272 bytes, above the 17,179,869,184-byte bounded-artifact policy. The matching target-only discriminator is 89,446,312,384 bytes. ORT GenAI 0.15.2 exposes no two-model draft/target binding, independent target/MTP cache orchestration, proposal rollback, or acceptance statistics. The embedded tokenizer uses pre=hunyuan-dense, whose compiled llama.cpp behavior is not serialized in GGUF. This is separate from the real-artifact budget and downstream two-model runtime validation gaps. Bounded headers prove that the -mtp file has 81 physical blocks with trailing block 80 while the target-only file has exactly 80 blocks. No payload values, standalone MTP forward, graph, or package is promoted as runtime evidence.
qwen3.6-27b-mtp-runtime-unvalidated	combined: localweights/Qwen3.6-27B-MTP-Q4_K_M-Q8nextn-GGUF@bdc8bc1ca4d45e1152d54c4e5f1389bc7bf6e439/Qwen3.6-27B-MTP-Q4_K_M-Q8nextn.gguf 16,998,719,584 B 6cdb1aabb6ee711938df4192938b51228df9274f01c8d7a5ff404915ad342a7c total 16,998,719,584 B; within 16 GiB split: ggml-org/Qwen3.6-27B-GGUF@8a7ee08e8b9bfb857107ecc25a5599d2f38b76f8/Qwen3.6-27B-Q4_K_M.gguf 19,095,766,304 B 65b753ea835627f7b511143c6ceb976525c7f21f5df8c664bc0a9c23d1c49921, ggml-org/Qwen3.6-27B-GGUF@8a7ee08e8b9bfb857107ecc25a5599d2f38b76f8/mtp-Qwen3.6-27B-Q4_0.gguf 1,680,270,560 B 3d593f9e2788d59bb30d6024706b1efd5219fea466b6397c46159e3540937173 total 20,776,036,864 B; above 16 GiB	Qwen/Qwen3.6-27B@6a9e13bd6fc8f0983b9b99948120bc37f49c13e9 69db4eb7196bc8190813231b3018ca05d8c2e3abc7b1af19d55c157af44a9d9c	Qwen/Qwen3.6-27B@6a9e13bd6fc8f0983b9b99948120bc37f49c13e9; separately deferred; metadata 8d1070c727a7e6a03726687aa5746acece0255060a2a61a905c4c2285d353b68	status=runtime_unvalidated; graph/package hashes unclaimed; ORT 1.29.0 CPUExecutionProvider; ort-genai 0.15.2 source ed5f4e87147731e5b07810f9f5c90103b3603cdf; reduced direct-ORT coordinator {‘accepted’: 1, ‘proposal_steps’: 51, ‘rejected’: 50, ‘rollbacks’: 50}; ORT GenAI 0.15.2 constructs one Model per Generator and exposes no two-model draft/target binding, independent MTP-cache orchestration, proposal accept/reject rollback, or observable acceptance statistics. Its pinned release matrix places speculative decoding on the roadmap; Generator.rewind_to only rewinds the single target generator and is not an MTP acceptance loop. The embedded tokenizer uses pre=qwen35, whose compiled llama.cpp behavior is not serialized in GGUF. This tokenizer limitation is separate from downstream two-model runtime validation. The under-budget combined artifact proves immutable header, physical trailing block, and layout identity only. No payload values, production tensor mapping, quantized storage execution, standalone MTP forward, graph, or package is promoted as runtime evidence. A separate tiny direct-ORT coordinator exercises target/MTP cache threading, accept/reject rollback, replay, reorder, and target-only equality without upgrading the real-artifact status. The 2026-08-28 qualification transfer fetched 2,167,418,880 of 16,998,719,584 bytes before measured throughput implied a multi-hour transfer ahead of any 32 GiB-host build/runtime attempt. The partial payload was deleted; this operational deferral does not restrict export support.

Pinned DFlash/EAGLE3 source, artifact, tokenizer, graph, and package hashes live in testdata/evidence/gguf_draft_runtime_evidence.json: dflash: 32 target-only-equal greedy tokens; 18/75 accepted; 3 multi-token rounds; 5 rollbacks; source cosine=0.999879, relative-L2=0.005406; eagle3: 32 target-only-equal greedy tokens; 20/43 accepted; 7 multi-token rounds; 10 rollbacks; source tensors exact. Both use separate target/draft caches; higher-level runtime=runtime_unvalidated.

The committed real-pair evidence uses a test-only direct ORT coordinator that reads remapping metadata from the raw immutable draft GGUF and does not import DraftPairRunner or its transition helpers. Per-round DFlash and EAGLE3 traces bind proposal/remap tokens, proposal-logit hashes, accepted prefixes, correction tokens, target replay, target/draft cache states, final counters, and four execution-mutating discriminators. Target replay starts from an empty cache, and final speculative rounds never process past the requested token count. Beam reorder is reported unsupported for the batch-size-one reference coordinator rather than inferred.

Runtime support above is independent from tokenizer materialization support below.

Fail-closed runtime evidence

Evidence ID	Pinned candidate	Bounded result	Withheld runtime claims
nemotron-h-moe-30b-iq2-xxs-runtime-blocker	bartowski/nvidia_Nemotron-3-Nano-30B-A3B-GGUF@1fc64d5b160654ec892df2708aa893b0e96e6491 nvidia_Nemotron-3-Nano-30B-A3B-IQ2_XXS.gguf 18,010,755,296 B f3da710c046ce7cc6ff28a9b5f1a9153ac72e3f60603e51c7bb679d80716b58a	config/tokenizer nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16@bf77c3174f68ad409e1c2aa60daeb46e32d1c606; GGUF tokenizer metadata 6089bcaf08b3fe0d49379ca7e85bd3c93e8705bac6130636425c159212971225; result=blocked; 401 tensors / 31,577,940,288 parameters; ORT 1.29.0 / CPUExecutionProvider; ort-genai 0.15.2; The smallest model GGUF in the pinned 29-file repository revision is 18,010,755,296 bytes, above the 16 GiB bounded-artifact policy; explicit float16/float32 weights require 63,155,880,576/126,311,761,152 bytes. The normal optimized CPU export has 37,142 nodes (40,167 before Mobius optimization) and 6,028 MatMul nodes because its truthful ReLU2 routed experts remain an ONNX loop. ORT 1.29 MoE/QMoE exposes ReLU but not ReLU2. QMoE has separate router_probs/router_weights for correction-biased selection with unbiased sigmoid mixing, while shared experts and optional latent projections can surround it; those are not fused-op blockers. The pinned 30B has no latent projection. QMoE does not support GGUF IQ2_XXS storage, and Mobius has no proven IQ2_XXS packer/kernel path. ORT GenAI 0.15.2 discovers sparse/nonconsecutive KV and conv/recurrent slots, but derives recurrent_state names while this export uses ssm_state, does not beam-reorder recurrent state, and rejects nonzero recurrent-state rewind. The GGUF tokenizer declares pre=pixtral, whose compiled llama.cpp behavior is not serialized; exact ORT tokenizer materialization is unavailable.	cached decode and deterministic generation, full-logit parity, package and report roundtrip, state replay, rollback, and reorder, tensor value closure
glm-dsa-iq1-s-artifact-budget-blocker	unsloth/GLM-5.2-GGUF@abc55e72527792c6e77069c99b4cb7de16fa9f23 UD-IQ1_S/GLM-5.2-UD-IQ1_S-00001-of-00006.gguf 9,423,744 B 46b6148389219ae45167cb8124fbb18ef7d432daf619b4faf9e06ea80d3f4777 UD-IQ1_S/GLM-5.2-UD-IQ1_S-00002-of-00006.gguf 49,208,128,256 B f2180207285e04fcaa5b8c53ba6e77ad5cc58666b6e7c6b04a5eded3fe8bef09 UD-IQ1_S/GLM-5.2-UD-IQ1_S-00003-of-00006.gguf 49,684,417,024 B b1c0c5a302cc8d5d9ea0bcd4467c01db72c26839f820f7e882079582ea0a8d2b UD-IQ1_S/GLM-5.2-UD-IQ1_S-00004-of-00006.gguf 49,396,052,864 B a6a42da6975e29f89866dcde2956e9e50e6ea26635fb5063b74f3973f4f863b6 UD-IQ1_S/GLM-5.2-UD-IQ1_S-00005-of-00006.gguf 49,246,275,936 B a4a9851a50db533f21ef824e5d8038f04e6782e7d602d18e5fdd6643f68ccccb UD-IQ1_S/GLM-5.2-UD-IQ1_S-00006-of-00006.gguf 19,171,063,136 B 3b767f55df64e0432d52fcf1a14eb47a1ef3bbc91339e2ae220f38602237d7d7 total 216,715,360,960 B	blocked; The smallest mainline GLM-5.2 GGUF is a 216,715,360,960-byte split set whose trunk also declares an unsupported routed DSA/MLA MTP block.	real-weight full-logit parity, runtime packaging, deterministic generation
minimax-m2-iq1-s-artifact-budget-blocker	mradermacher/MiniMax-M2-i1-GGUF@2d4f9b1a86d32ce4dfc47db312c8d6fcae8d7b37 MiniMax-M2.i1-IQ1_S.gguf 46,514,882,176 B 7bae986e3cd380c28c6177d612fce1d52373241a0dfa13a6fca25de79abf15fb total 46,514,882,176 B	blocked; The smallest immutable public MiniMax-M2 GGUF is 46,514,882,176 bytes; real-weight parity cannot enter the 16 GiB bounded evidence set.	real-weight full-logit parity, runtime packaging, deterministic generation
mistral4-iq1-m-artifact-budget-blocker	unsloth/Mistral-Small-4-119B-2603-GGUF@bd93c721735aa32c035c0f19e738cb3371fd56ff Mistral-Small-4-119B-2603-UD-IQ1_M.gguf 32,306,941,632 B 40fcdee4869110938638c6b8bac253f442b196518d4623f4afdf4b885cd961c7 total 32,306,941,632 B	blocked; The smallest immutable public Mistral4 GGUF is 32,306,941,632 bytes; real-weight parity cannot enter the 16 GiB bounded evidence set.	real-weight full-logit parity, runtime packaging, deterministic generation

Remaining route work

Every unresolved route is classified once from its authoritative registry. Exact reasons remain machine-readable in _route_census.py; this table groups only shared next work.

Category	Next batch	Routes	Dependencies
artifact-unavailable	projector-artifact-discovery	projector:phi4	complete immutable mmproj; component parity oracle
artifact-unavailable	tokenizer-artifact-replacement	tokenizer:gpt-4o, tokenizer:granite-embed-multi-311m, tokenizer:jina-v1-en, tokenizer:llama4	replacement complete artifact; matching official tokenizer source
dependency-or-mobius-abi-blocked	architecture-abi-dependencies	architecture:qwen4exp	dedicated graph topology; cache/state contract; synthetic parity
dependency-or-mobius-abi-blocked	architecture-abi-dependencies	architecture:afmoe, architecture:arwkv7, architecture:bailingmoe3, architecture:chameleon, architecture:cogvlm, architecture:cohere2moe, architecture:deepseek2, architecture:deepseek2-ocr, architecture:deepseek32, architecture:deepseek4, architecture:gemma3n, architecture:gemma4-assistant, architecture:gpt-oss, architecture:granite_swa, architecture:graniteswitch, architecture:hunyuan_vl, architecture:laguna, architecture:llama4, architecture:mellum, architecture:mimo2, architecture:minimax-m3, architecture:mistral3, architecture:nanbeige, architecture:paddleocr, architecture:plamo3, architecture:pockettts, architecture:qwen3tts, architecture:qwen3vl, architecture:qwen3vlmoe, architecture:rwkv6, architecture:rwkv6qwen2, architecture:rwkv7, architecture:step35, architecture:wavtokenizer-dec	exact metadata extraction; tensor closure; dedicated graph and parity
dependency-or-mobius-abi-blocked	mtp-specialized-abi	mtp:bailingmoe3, mtp:cohere2moe, mtp:deepseek2, mtp:deepseek32, mtp:deepseek4, mtp:glm-dsa, mtp:mimo2, mtp:nemotron_h_moe, mtp:qwen35moe, mtp:qwen3next, mtp:step35	specialized sidecar graph; routed/cache state ABI
dependency-or-mobius-abi-blocked	projector-package-abi	projector:resampler	Mobius dynamic processor-to-graph media shape contract
dependency-or-mobius-abi-blocked	tokenizer-compiled-semantics	tokenizer:afmoe, tokenizer:bloom, tokenizer:chameleon, tokenizer:codeshell, tokenizer:command-r, tokenizer:dbrx, tokenizer:deepseek-coder, tokenizer:deepseek-llm, tokenizer:deepseek-v3, tokenizer:default, tokenizer:exaone, tokenizer:exaone-moe, tokenizer:falcon, tokenizer:gpt3-finnish, tokenizer:granite-docling, tokenizer:granite-embed-multi-97m, tokenizer:grok-2, tokenizer:hunyuan, tokenizer:hunyuan-dense, tokenizer:jais, tokenizer:jais-2, tokenizer:joyai-llm, tokenizer:kimi-k2, tokenizer:laguna, tokenizer:megrez, tokenizer:mellum2, tokenizer:minerva-7b, tokenizer:minicpm5, tokenizer:minimax-m2, tokenizer:mpt, tokenizer:olmo, tokenizer:poro-chat, tokenizer:refact, tokenizer:sarvam-moe, tokenizer:seed-coder, tokenizer:smaug-bpe, tokenizer:solar-open, tokenizer:stablelm2, tokenizer:starcoder, tokenizer:superbpe, tokenizer:tekken, tokenizer:trillion, tokenizer:viking, tokenizer:whitespace, tokenizer:youtu	compiled pinned llama.cpp oracle; dispatch-equivalence fixture
dependency-or-mobius-abi-blocked	tokenizer-compiled-semantics	tokenizer:bailingmoe, tokenizer:bailingmoe2, tokenizer:chatglm-bpe, tokenizer:cohere2moe, tokenizer:glm4, tokenizer:llada-moe, tokenizer:tiny_aya	upstream tokenizer semantic parity; independently proven replacement reconstruction
evidence-only	architecture-runtime-evidence	architecture:arcee, architecture:arctic, architecture:baichuan, architecture:bailingmoe, architecture:bert, architecture:bitnet, architecture:bloom, architecture:chatglm, architecture:codeshell, architecture:cohere2, architecture:command-r, architecture:dbrx, architecture:deci, architecture:deepseek, architecture:dots1, architecture:dream, architecture:ernie4_5, architecture:ernie4_5-moe, architecture:eurobert, architecture:exaone, architecture:falcon, architecture:falcon-h1, architecture:gemma, architecture:gemma-embedding, architecture:gemma2, architecture:gemma3, architecture:gemma4, architecture:glm-dsa, architecture:granite, architecture:granitehybrid, architecture:granitemoe, architecture:grok, architecture:grovemoe, architecture:hunyuan-dense, architecture:hunyuan-moe, architecture:hy_v3, architecture:internlm2, architecture:jais, architecture:jais2, architecture:jamba, architecture:jina-bert-v2, architecture:jina-bert-v3, architecture:kimi-k3, architecture:kimi-linear, architecture:lfm2moe, architecture:llada, architecture:llada-moe, architecture:llama-embed, architecture:maincoder, architecture:mamba, architecture:mamba2, architecture:minicpm, architecture:minicpm3, architecture:minimax-01, architecture:minimax-m2, architecture:mistral4, architecture:modern-bert, architecture:muse-glimmer, architecture:nemotron, architecture:nemotron_h, architecture:nemotron_h_moe, architecture:neo-bert, architecture:nomic-bert, architecture:nomic-bert-moe, architecture:olmo2, architecture:olmoe, architecture:openelm, architecture:orion, architecture:pangu-embedded, architecture:phi2, architecture:phi3, architecture:phimoe, architecture:plamo, architecture:plamo2, architecture:plm, architecture:qwen, architecture:qwen2moe, architecture:qwen2vl, architecture:qwen3, architecture:qwen35, architecture:qwen3moe, architecture:qwen3next, architecture:refact, architecture:rnd1, architecture:seed_oss, architecture:smallthinker, architecture:smollm3, architecture:stablelm, architecture:t5, architecture:t5encoder, architecture:talkie, architecture:xverse	immutable representative GGUF; full-logit prefill and cached-decode parity; deterministic generation/state evidence
evidence-only	mtp-runtime-evidence	mtp:hy_v3, mtp:qwen35	target acceptance loop; cache-threaded draft/target parity
evidence-only	projector-runtime-evidence	projector:adapter, projector:cogvlm, projector:deepseekocr, projector:deepseekocr2, projector:dots3note_a, projector:dots3note_v, projector:dots_ocr, projector:exaone4_5, projector:gemma3, projector:gemma3na, projector:gemma3nv, projector:gemma4a, projector:gemma4ua, projector:gemma4uv, projector:gemma4v, projector:glm4v, projector:glma, projector:granite4_vision, projector:granite_speech, projector:hunyuanvl, projector:idefics3, projector:internvl, projector:janus_pro, projector:kimik25, projector:kimivl, projector:ldp, projector:ldpv2, projector:lfm2, projector:lfm2a, projector:lightonocr, projector:llama4, projector:meralion, projector:mimo_audio, projector:mimovl, projector:minicpmv4_6, projector:minimax_m3, projector:mlp, projector:muse-glimmer, projector:musicflamingo, projector:nemotron_v2_vl, projector:paddleocr, projector:parakeet, projector:pixtral, projector:pockettts_spkenc, projector:qwen2.5o, projector:qwen2.5vl_merger, projector:qwen2a, projector:qwen2vl_merger, projector:qwen3a, projector:qwen3tts_spkenc, projector:qwen3vl_merger, projector:step3vl, projector:ultravox, projector:voxtral, projector:yasa2, projector:youtuvl	paired text target; processor boundary; deterministic multimodal package execution
intentionally-rejected	policy-rejections	architecture:bailingmoe2, architecture:clip, architecture:dots3note, architecture:exaone-moe, architecture:exaone4, architecture:glm4, architecture:glm4moe, architecture:gptj	policy change plus independent correctness proof
intentionally-rejected	policy-rejections	projector:pockettts_gen, projector:qwen3tts_gen	sidecar role must become a valid projector contract
intentionally-rejected	policy-rejections	mtp:bailingmoe2, mtp:dots3note, mtp:exaone-moe, mtp:exaone4, mtp:gemma4-assistant, mtp:glm4, mtp:glm4moe, mtp:graniteswitch, mtp:nemotron_h	upstream executable ownership change

Recent PR dependencies: #645 (merged) — authoritative tokenizer route inventory and compiled-semantics blockers; #651 (merged) — gemma4 tokenizer evidence merged into the authoritative route census; #652 (closed) — superseded by merged PR #656; #656 (merged) — qwen4exp route and complete sharded import merged, superseding PR #652; #675 (merged) — follow-up hardening for sharded GGUF evidence edge cases after PR #656; #672 (merged) — Qwen3.5 MoE runtime evidence is complete; exclude it from follow-up evidence batches; #674 (merged) — Nemotron-H MoE blocker evidence is complete; exclude it from follow-up evidence batches; #677 (merged) — the text architecture cohort is merged into the authoritative graph-route census; #678 (merged) — the generic projector cohort is merged into the authoritative projector census; #679 (merged) — Hunyuan V3 graph and MTP routes are merged into the authoritative route census; #680 (merged) — the MoE architecture cohort is merged into the authoritative graph-route census.

Tokenizer evidence

Evidence ID	GGUF identity	Official source	Exact tokenizer proof
gemma4-e2b-iq2-native-tokenizer	unsloth/gemma-4-E2B-it-GGUF@0314792d7f1f7e229411f620751375812bb9faf2 gemma-4-E2B-it-UD-IQ2_M.gguf 2,290,860,128 B 3d95ada2a122c9c0b42803317239b64b262ac9226a307ff895b3d87eec0c2acd architecture gemma4; declared pre absent; effective pre gemma4	google/gemma-4-E2B-it@3e22461f65e89153144f8adb70e3b8c2cc9845a7 config.json 4,954 B 1b28f3d2c3100f6c594754b81107428bd7b822a7f48272ca681dae9d2ec38330 chat_template.jinja 18,569 B 0a2c8073c878ab1da004bee933a998606537bbb62016310352c7285c3f01c5b5, tokenizer.json 32,169,626 B cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f, tokenizer_config.json 3,082 B 9f4fec4b1dc6ecddf8f4a92e9caea5971c0e67d81309f3f9066a2bee8c362633	validated identifiers ['gemma4'] metadata ba1926593b1ede5e53dd8a41a435cf2783a832cf68f05be90b019350ec60ab77 tokens 262,144 7905cebbe55e92782d7179b7341d19a4968fdb69e76de970b2d9ede21f1b880d merges 514,906 930c8fe84d284f73233935b8dc5b1499a9810f59a8d64f580c1a5e9c123134de types 987bc200faf7bd20738013daab9cda6a005b2a2842d4f8be9449458663e0bdf9; scores=262144 user-defined IDs [('<channel|>', 101), ('<tool_call|>', 49), ('<tool_response|>', 51), ('<|"|>', 52), ('<|channel>', 100), ('<|tool_call>', 48), ('<|tool_response>', 50)]; source added tokens=24 d2197ea6f594928aa6479c7e27b5a1fd004710b8930784b0606d32966eebde94 pipeline {'decoder': '78bc5c572c20213e27daca8fd5993992c1007941901a5fcceb5325362e21db23', 'normalizer': 'bee32d134b0862217fbe58f6ab6ef6a6d89e0e0eb000a084f321aaca31c1929c', 'post_processor': 'a443939c6288561c027ce2908243332dc594e122007588752fd052d928755b35', 'pre_tokenizer': '75caeae5a427c06d64010230e6a10b4f7a08253b5b5be3ab5ca4c15cdbf791f5'}; chat 241c50d86bdfe5e43307da87f559cd2416aacd67a8de46c15acc0105ef2200b7 source IDs 0..262143; no GGUF-only padding extension; rows=262,144 materialized c440114eceefe1e87a662a77b472ccfa733f4c7950271009dba324d54b7c3583 Hello, world! 12345 → [9259, 236764, 1902, 236888, 236743, 236770, 236778, 236800, 236812, 236810]   spaced  text\n → [138, 169862, 138, 1005, 107] \u4f60\u597d\uff0c\u4e16\u754c\uff01 → [144626, 236900, 12811, 237354] Caf\xe9 \u2014 \u03ba\u03cc\u03c3\u03bc\u03bf\u03c2 \U0001f680 → [160319, 236859, 2192, 150665, 148148, 236743, 242015] <|channel>thought\nplan<channel|><|tool_call>call:f{}<tool_call|> → [100, 45518, 107, 15081, 101, 48, 6639, 236787, 236760, 16454, 49] Hello, world! 12345 + specials → [2, 9259, 236764, 1902, 236888, 236743, 236770, 236778, 236800, 236812, 236810] GGUF-native Gemma4 reconstruction; official copy rejected: its seven tool/channel tokens are all special instead of llama.cpp user-defined (with the tool-response EOG override), it omits GGUF BOS insertion and cleanup decoding, names rather than <turn|> as EOS, and its chat template hash differs from the GGUF-native template llama.cpp oracle 8d9af256337d1a501250f9bbf4c0859a654bddd6: 480 cases 1def4cb26eb2c9b671921869822490944998bd135f5d8acaeaf30161f2b80bb1
gpt2-q4-tokenizer	QuantFactory/gpt2-GGUF@7eae6f079f0164bff66b86eea5159f7a368f9381 gpt2.Q4_0.gguf 106,554,880 B d52ac7ed12e1f87cbc93473912f5c213d7c7d6f2a0112ea9d78533d0d7bd3632 architecture gpt2; declared pre gpt-2; effective pre gpt-2	openai-community/gpt2@607a30d783dfa663caf39e06633721c8d4cfcd7e config.json 665 B 0daed7749b4f02b8f76240d5444551d7b08712dab4d0adb8239c56ba823bb7b4 tokenizer.json 1,355,256 B 8414cab924d8b9b33013f0d221c5862f365ee9be39c5c2bfae8a5a9e970478a6, tokenizer_config.json 26 B 5e04eb606e3a1583530a42e36c2a6b6615c86f34fe77e44d9ddeb43ff940931f	validated identifiers ['a.x-4.0', 'exaone4', 'gigachat', 'gpt-2', 'jina-de', 'jina-es', 'jina-v2-de', 'jina-v2-es', 'mellum', 'modern-bert', 'phi-2'] metadata b2417176025f8500d864004b0bf93b1403dc3c52238f6628f82fb0e3c498977e tokens 50,257 2d4e96560e324abcfaeaac6d24016c22f354ef9da213432b451e9a860b21d508 merges 50,000 e707935c815087d8103fec742a07d7e8b50d1acf997ddcde53c73213db1141a4 types aeaf4bf6f00438b0ef9ee1edb6e58616d49b4735d520393af901b7ccf1e3a218; scores=0 user-defined IDs []; source added tokens=0 None pipeline {}; chat None source IDs 0..50256; no GGUF-only padding extension; rows=50,257 materialized 8414cab924d8b9b33013f0d221c5862f365ee9be39c5c2bfae8a5a9e970478a6 Hello, world! 12345 → [15496, 11, 995, 0, 17031, 2231]   spaced  text\n → [220, 38980, 220, 2420, 198] \u4f60\u597d\uff0c\u4e16\u754c\uff01 → [19526, 254, 25001, 121, 171, 120, 234, 10310, 244, 45911, 234, 171, 120, 223] Caf\xe9 \u2014 \u03ba\u03cc\u03c3\u03bc\u03bf\u03c2 \U0001f680 → [34, 1878, 2634, 851, 7377, 118, 139, 234, 38392, 34703, 26517, 35558, 12520, 248, 222] <|endoftext|> → [50256]
jina-v2-code-q8-tokenizer	ggml-org/jina-embeddings-v2-base-code-Q8_0-GGUF@05e79e9a6c8b99491e92ebb28d753268f8601e3c jina-embeddings-v2-base-code-q8_0.gguf 172,869,280 B 3bd1722f09350209aa3ada93df55882666c58194bfbbbe81c30545d731cb4e7a architecture jina-bert-v2; declared pre jina-v2-code; effective pre jina-v2-code	jinaai/jina-embeddings-v2-base-code@516f4baf13dec4ddddda8631e019b5737c8bc250 config.json 1,216 B e426aa684c7f9a95c5f020aa855faf93a24f065f5fad0c9e17b124670cabdea6 special_tokens_map.json 280 B 06e405a36dfe4b9604f484f6a1e619af1a7f7d09e34a8555eb0b77b66318067f, tokenizer.json 2,561,316 B b01c78a902aa4facb2f47f95449f48e2f7bbfea5d2472ee2f6ce92323c6f86e5, tokenizer_config.json 493 B f477aeb15ff9f78d3c1ddf2361d2b0b8b20cf55220f839f29a37f3a18efddd89	validated identifiers ['jina-v2-code'] metadata 30161844cf4cd814a532f368f372a6ba0c7c2c7d86d9678f9816505122e889e5 tokens 61,056 5a8d8f6a0dad37e10cb27a75ece22d44e96259419bdfe8f4e334a676483d9f78 merges 60,795 3c0cca5349df26b361d55c0498b4a46fb52a92a05e185754cf709b8de160c5da types 821b8840b71bceb8d52cacc36f2cc574f0c2e73f8df002cc0936566e6ba20043; scores=0 user-defined IDs []; source added tokens=0 None pipeline {}; chat None source IDs 0..61055; no GGUF-only padding extension; rows=61,056 materialized b01c78a902aa4facb2f47f95449f48e2f7bbfea5d2472ee2f6ce92323c6f86e5 Hello, world! 12345 → [10564, 16, 7550, 5, 53737]   spaced  text\n → [225, 4113, 72, 225, 1460, 203] \u4f60\u597d\uff0c\u4e16\u754c\uff01 → [12552, 19692, 2397, 47406, 32039, 19513] Caf\xe9 \u2014 \u03ba\u03cc\u03c3\u03bc\u03bf\u03c2 \U0001f680 → [39, 1326, 2521, 25956, 31085, 20788, 10123, 59430, 14535, 30975] def fibonacci(n: int) -> int:\n    return n if n < 2 else fibonacci(n-1) + fibonacci(n-2) → [406, 23852, 267, 33404, 12, 82, 30, 577, 13, 1882, 577, 30, 287, 437, 321, 392, 321, 318, 491, 723, 23852, 267, 33404, 12, 82, 17, 21, 13, 464, 23852, 267, 33404, 12, 82, 17, 22, 13] Hello, world! 12345 + specials → [0, 10564, 16, 7550, 5, 53737, 2]
kanana2-1.3b-instruct-q8-tokenizer	dummy9996/kanana-2-1.3b-instruct-GGUF@6c998111f40f3ab7adf65620a6a752230d8c75f6 kanana-2-1.3b-instruct-Q8_0.gguf 1,377,890,688 B 0b63b6b68f0c1f0e667ad070808dfee7a03db06fc41c3fe23c9d794841c6f801 architecture qwen3; declared pre kanana2; effective pre kanana2	kakaocorp/kanana-2-1.3b-instruct@bf4786aa2a1908adce942d53976270132732f720 config.json 2,019 B fe14b20b4b616d62ca0682312c2fcd2b90d9a836d14a1ff6448db3f533fd15a1 chat_template.jinja 10,725 B b8ee6b31575eada17ebbe73d3f1ac65d3efde64f0a25ff922031dec7e1cae3e3, tokenizer.json 10,057,457 B 1c4be9ecf77c926456fb82d4cf07ff1218a91907f3408f44895d2b01e0f2b5ab, tokenizer_config.json 50,155 B 1cdee8fcd4f6209e07e6d9966c8a3ff2d738830d79475193e94e448e153ae2d5	validated identifiers ['kanana2'] metadata 94c64f4813926cc68c2357c49a4f264a4788422f5b663299de0d6da63c4546e4 tokens 128,256 ba8fcb1c6a9186257d3e12f93bd8b77a50378a8e081c524c9c97ff652d34c941 merges 127,744 04e73d514ad172c5f02929d7517a6a01a9b42630223e365f06b20d6628a8d1b6 types 552780454e0de07e46ed452dba9c24001a780923e0ba1e4b4d0906cb02c2aeab; scores=0 user-defined IDs []; source added tokens=0 None pipeline {}; chat None source IDs 0..128255; no GGUF-only padding extension; rows=128,256 materialized 1fba3871de7549016b48a7890d46403fe24c59cf39afc9df395ea02c199d1917 Hello, world! 12345 → [17263, 11, 1666, 0, 220, 9654, 2995]   spaced  text\n → [220, 49580, 220, 2620, 198] \u4f60\u597d\uff0c\u4e16\u754c\uff01 → [117006, 6936, 9428, 31645] Caf\xe9 \u2014 \u03ba\u03cc\u03c3\u03bc\u03bf\u03c2 \U0001f680 → [34, 3685, 1989, 3968, 77914, 70157, 23526, 29669, 98218, 106943, 222] <|im_start|>user\n\uc548\ub155\ud558\uc138\uc694<|im_end|> → [128009, 3043, 198, 15191, 128010] Hello, world! 12345 + specials → [128000, 17263, 11, 1666, 0, 220, 9654, 2995] llama.cpp oracle 8d9af256337d1a501250f9bbf4c0859a654bddd6: 444 cases ca7875445f21a03eb9a480c6aa96251bf4a8951a6e284dc480ef32eaedb796f5
lfm2-350m-f16-tokenizer	LiquidAI/LFM2-350M-GGUF@8fdc9d526b7ed346b19257551b05816c7912ecc2 LFM2-350M-F16.gguf 711,482,304 B 379ffdcbf08147c0313f6f1ce7ff558a2bc935eda633f4b46c52347032419c42 architecture lfm2; declared pre lfm2; effective pre lfm2	LiquidAI/LFM2-350M@73e3c253078a3b97c2e14b4c4665679f4d9b6d56 config.json 999 B fd3b3fba4e50e7b9a22bd41cbab59e9b28e319b2de19668d7fd9777c8d1a9ba1 chat_template.jinja 209 B a805e50fed68938a076b07e2e602639611b50b1ced0e50f11eb92f1ba25be4dc, special_tokens_map.json 434 B 742aefe2b7dec496e8caffdba03a75d0c1a9925d53bd3f3e0d388c96b591b6f4, tokenizer.json 4,732,426 B 98cff83b4f6d7e9d8929bebc62b07e92cf1b3f99c80d16bafe8b84a75448f40b, tokenizer_config.json 91,509 B 36f511115e9d8952cbc9d15d9a20dfa7ce7d1444940e5c1dc42a762020c99bf5	validated identifiers ['falcon-h1', 'falcon3', 'jina-v5-nano', 'lfm2', 'llama-bpe', 'llama-v3', 'llama3', 'midm-2.0', 'pixtral'] metadata e5626d605bb50bc53fdb0fbfcf374fb33dfbaa0cc698d9746ba1e9b0b7e6d07d tokens 65,536 c004fd0578dbfbff394335a7d5f95e78a8cdbbff6abc8c389ba2290637be58b6 merges 63,683 c70042d0b5969460432a218556522dedee908735a3e4cf70f27936353c5b3f65 types ffe1ea561257dc6e1f2c257b99b4913d63e9d6b896cf2f9da1a3d2cac316d4b4; scores=0 user-defined IDs []; source added tokens=0 None pipeline {}; chat None source IDs 0..65535; no GGUF-only padding extension; rows=65,536 materialized e7b7960966e2ed43a22b00431246cf820d5e2751bec58c44f0184cbe9b8d18c9 Hello, world! 12345 → [36309, 521, 2031, 510, 730, 10293, 2637]   spaced  text\n → [730, 56551, 730, 3304, 708] \u4f60\u597d\uff0c\u4e16\u754c\uff01 → [11754, 6400, 1198, 11370, 8668] Caf\xe9 \u2014 \u03ba\u03cc\u03c3\u03bc\u03bf\u03c2 \U0001f680 → [544, 2305, 860, 2180, 59955, 49122, 27443, 16883, 51332, 23805, 758, 732] <|startoftext|><|im_start|>user\nHello<|im_end|> → [1, 6, 6423, 708, 36309, 7]
qwen2.5-0.5b-instruct-q8-tokenizer	Qwen/Qwen2.5-0.5B-Instruct-GGUF@9217f5db79a29953eb74d5343926648285ec7e67 qwen2.5-0.5b-instruct-q8_0.gguf 675,710,816 B ca59ca7f13d0e15a8cfa77bd17e65d24f6844b554a7b6c12e07a5f89ff76844e architecture qwen2; declared pre qwen2; effective pre qwen2	Qwen/Qwen2.5-0.5B-Instruct@a338b55dd21219a5f4da42bc11a9313d1a27d4cc config.json 659 B 18e18afcaccafade98daf13a54092927904649e1dd4eba8299ab717d5d94ff45 tokenizer.json 7,031,645 B c0382117ea329cdf097041132f6d735924b697924d6f6fc3945713e96ce87539, tokenizer_config.json 7,308 B 5214600ee45ca2f887ce2eede8910378a0111ea99d657428bcbce94778e65a92	validated identifiers ['deepseek-r1-qwen', 'f2llmv2', 'kormo', 'qwen2'] metadata 8fc8ef848104e931f14ae03d9581699d54813a2ff952fb7caac0654e8aa27ee3 tokens 151,936 e2fadeac783c911f535d21f858f43127672a1d261af510d3f895e34bd2f6fb10 merges 151,387 24fa2ae2a398e50784a1fff678482094af4f63e6783d35686726abacda8dc371 types 17ccfa7767a8721474dc0fd21ca1308fdfd04e0f64036efbfa97f3e16e5f18f1; scores=0 user-defined IDs []; source added tokens=0 None pipeline {}; chat None source IDs 0..151935; no GGUF-only padding extension; rows=151,936 materialized be55f66f0643df9d3c1b5dc55ae552b0e334f219a3a5f8338e6864f8eb3a8ac5 Hello, world! 12345 → [9707, 11, 1879, 0, 220, 16, 17, 18, 19, 20]   spaced  text\n → [220, 63828, 220, 1467, 198] \u4f60\u597d\uff0c\u4e16\u754c\uff01 → [108386, 3837, 99489, 6313] Caf\xe9 \u2014 \u03ba\u03cc\u03c3\u03bc\u03bf\u03c2 \U0001f680 → [34, 2577, 963, 1959, 71638, 75195, 43928, 43123, 27554, 45642, 11162, 248, 222] <|im_start|>user\nHello<|im_end|>\n → [151644, 872, 198, 9707, 151645, 198]
qwen3.5-0.8b-q4-tokenizer	ggml-org/Qwen3.5-0.8B-GGUF@8fea620810c4afa23dd6443f999a48574c1611a3 Qwen3.5-0.8B-Q4_0.gguf 563,036,064 B 57d1997790d1744fba5b40a7317df71ea5e2acee28c47e78f0cce39c0703f8cf architecture qwen35; declared pre qwen35; effective pre qwen35	Qwen/Qwen3.5-0.8B@2fc06364715b967f1860aea9cf38778875588b17 config.json 2,907 B b90b86f35c8e6925ef74ee04d0e758f0a845c83a42089ad82bbaa948de9b4204 chat_template.jinja 7,755 B 273d8e0e683b885071fb17e08d71e5f2a5ddfb5309756181681de4f5a1822d80, tokenizer.json 12,807,982 B 5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42, tokenizer_config.json 16,709 B 49e2b6e395f959f077f1e992b338919c0d4a9732fc6e613995e06557f843500c	validated identifiers ['qwen35'] metadata 45302b58b2086a666a874652d0e9e1d5b4b26e786ffbaf9362a4f902eba0b10d tokens 248,320 5ee0f927bcaa4b9fe85c244776ae9487468e427f83e053fc81f2a186f14936a3 merges 247,587 7e299304d9ad9dc312acdbcb1f6ccf0dce1256bf1aa986d651f13814dfd27e7b types f6fdca1063d1ae1cc77ba1f5087d259f044c2634e64b65e31bc844ec00e9acab; scores=0 user-defined IDs []; source added tokens=0 None pipeline {}; chat None source IDs 0..248076; unused [PAD{id}] IDs 248077..248319; rows=248,320 materialized a78b900eb4cd335bba249158066db523ce221f744e2b6144692bb81673d551af Hello, world! 12345 → [9419, 11, 1814, 0, 220, 16, 17, 18, 19, 20]   spaced  text\n → [220, 61674, 220, 1414, 198] \u4f60\u597d\uff0c\u4e16\u754c\uff01 → [109266, 3709, 96748, 6115] Caf\xe9 \u2014 \u03ba\u03cc\u03c3\u03bc\u03bf\u03c2 \U0001f680 → [34, 2492, 933, 1892, 166265, 203260, 10838, 248, 222] <|im_start|>user\nHello<|im_end|>\n<|im_start|>assistant\n → [248045, 846, 198, 9419, 248046, 198, 248045, 74455, 198] <|audio_start|><|audio_pad|><|audio_end|> → [248070, 248076, 248071]
roberta-bpe-q2-tokenizer	mradermacher/quora-roberta-base-GGUF@7a6d5816bb01c2d917978fb36825d9fec3ce4ff4 quora-roberta-base.Q2_K.gguf 67,888,768 B 1d31ba38f70d6f1456cfbd10c48dc6100a11a9b90558e110a9fb4d940b77cb49 architecture bert; declared pre roberta-bpe; effective pre roberta-bpe	sentence-transformers/stsb-roberta-base@32d471df2968a46d1fe447d66a9275e8e63fcf12 config.json 672 B 05fac50b3f0e2782f88ba1349ede146230005edef945fb336eeb6f9a8d815940 special_tokens_map.json 239 B 378eb3bf733eb16e65792d7e3fda5b8a4631387ca04d2015199c4d4f22ae554d, tokenizer.json 1,355,881 B 33465117406b9007673e8ba283f7f1383d9b5094df947481af60eec94ed7d7bd, tokenizer_config.json 1,172 B 5992009790ef0a4ba5910d1e0dc04c4e0601d416131501080c694231548bf666	validated identifiers ['roberta-bpe'] metadata 9bc381b15c316f8ced2658ec079c0b2d5ea6c6dcddb615f2a6966bbb717bde74 tokens 50,265 db935e2c7440742d76167108001403b9c51be6de99a5f677d70be0771e446cf5 merges 50,000 e707935c815087d8103fec742a07d7e8b50d1acf997ddcde53c73213db1141a4 types 70211118fea54968b4980f036554fd37269fc3c205dddbfc2b21004f570df7c3; scores=0 user-defined IDs []; source added tokens=0 None pipeline {}; chat None source IDs 0..50264; no GGUF-only padding extension; rows=50,265 materialized 33465117406b9007673e8ba283f7f1383d9b5094df947481af60eec94ed7d7bd Hello, world! 12345 → [31414, 6, 232, 328, 17072, 1898]   spaced  text\n → [1437, 42926, 1437, 2788, 50118] \u4f60\u597d\uff0c\u4e16\u754c\uff01 → [47856, 21402, 48975, 10809, 43251, 4394, 14285, 46015, 25448, 49127, 14285, 43251, 4394, 10172] Caf\xe9 \u2014 \u03ba\u03cc\u03c3\u03bc\u03bf\u03c2 \U0001f680 → [347, 2001, 1140, 93, 43662, 3070, 45704, 14285, 47721, 47049, 46122, 47756, 8103, 15113, 7471] The quick brown fox jumps over the lazy dog. → [133, 2119, 6219, 23602, 13855, 81, 5, 22414, 2335, 4] Hello, world! 12345 + specials → [0, 31414, 6, 232, 328, 17072, 1898, 2]
smollm-135m-f16-tokenizer	neopolita/smollm-135m-gguf@22cca988936eafe92908e7558907c3964e10bba7 ggml-model-f16.gguf 270,885,504 B ec8c775c16944a7e4b5251f97b3f848500dcc3e701b0d492ce9055cea42138a2 architecture llama; declared pre smollm; effective pre smollm	HuggingFaceTB/SmolLM-135M@1d461723eec654e65efdc40cf49301c89c0c92f4 config.json 724 B a1fe6f43e20f7a6c6dbc6380222af9526b5cef262446391a281c038249e3e3b7 special_tokens_map.json 831 B e786b595b9a23148bf1630df78d9037a048ea671e48bfd3549a1e3c233742bb3, tokenizer.json 2,104,556 B 9ca9acddb6525a194ec8ac7a87f24fbba7232a9a15ffa1af0c1224fcd888e47c, tokenizer_config.json 3,685 B 238ad6b60d48e471624ea70bc79e92f2611844d5016471fee8c167854bcb98e8	validated identifiers ['smollm'] metadata 46646ba36ecae43de6f9f649d217774b889e0fd405af92205319b882927493fc tokens 49,152 ecc2f33f7cdf683196646ea97b005f82398e5ddbb0e143fbe95a402277eb1788 merges 48,900 3d6f4016bc9b70ea16f0f01b1dadb4504ad99c5eaa8584b81997dc65168e136b types 3a92d63c9763834e17f2d93490d5a9643fa07057f2799168d67d7812d08e31aa; scores=0 user-defined IDs []; source added tokens=0 None pipeline {}; chat None source IDs 0..49151; no GGUF-only padding extension; rows=49,152 materialized 9ca9acddb6525a194ec8ac7a87f24fbba7232a9a15ffa1af0c1224fcd888e47c Hello, world! 12345 → [19556, 28, 905, 17, 216, 33, 34, 35, 36, 37]   spaced  text\n → [216, 23861, 216, 1694, 198] \u4f60\u597d\uff0c\u4e16\u754c\uff01 → [18645, 250, 48392, 138, 12831, 7906, 240, 178, 239, 230, 8083, 219] Caf\xe9 \u2014 \u03ba\u03cc\u03c3\u03bc\u03bf\u03c2 \U0001f680 → [51, 1939, 2756, 1841, 31953, 36180, 18751, 16674, 39346, 15107, 244, 218] <|endoftext|> → [0]
talkie-13b-q4-native-tokenizer	PocketAiHub/talkie-1930-13b-it-GGUF@47b38329dd30e8b2d6ab8e2fc53f3f2ae789e694 talkie-1930-13b-it-Q4_K_M.gguf 8,571,072,704 B 2d6c6c1d98a1b8ffa38b50916454891a31ad844ee69c686e525976867917d7b2 architecture talkie; declared pre talkie; effective pre talkie	lewtun/talkie-1930-13b-it-hf@6311dedf518470856a8503f2080bb4b54fcb3323 config.json 522 B e7f29da9cf0a69571d6a0521cd912dc5c2f0dd151d0e934b87541f4389a9ee30 chat_template.jinja 343 B 833a35215bfc10d1d9f27fb857123cc24bfef90f770fbc8d79ce37bf4ef4bc4d, tokenizer.json 8,870,742 B cc3813d9d674cf0e86e4171579ba276879c66c2171d993e5776fc5615756a03b, tokenizer_config.json 247 B e12d422a980eceaecd6ff388c3843b30dd461307d58ec19585953012d7386fc5	validated identifiers ['talkie'] metadata 7e14f443006afd16e49969f0bfbc5c995edde0075a829f2748e86b9fe4f2da81 tokens 65,540 f88816a5099baf479e674c8d3c61ed31f97954bd8213d1bf269cbbb883012b9e merges 65,279 addf973bfd18babde5e7bfd7fe5f8e7fc3ae2f5fa01a7fdb4aba5c1898f0ec94 types 511820f1cc6c9a5df9e0c93a062ff95f6d602208050aa12296fb66b798ad36cf; scores=0 user-defined IDs []; source added tokens=0 None pipeline {}; chat None source IDs 0..65539; no GGUF-only padding extension; rows=65,540 materialized 63eb55af29f6eb88b2a8caa7966e0202b59f799d4e560bc688b5ac7c5f0453de Hello, world! 12345 → [72, 22882, 44, 1490, 33, 32, 6276, 1400]   spaced  text\n → [32, 25156, 32, 5272, 10] \u4f60\u597d\uff0c\u4e16\u754c\uff01 → [228, 189, 160, 229, 165, 189, 239, 188, 140, 57632, 150, 231, 149, 140, 239, 188, 129] Caf\xe9 \u2014 \u03ba\u03cc\u03c3\u03bc\u03bf\u03c2 \U0001f680 → [67, 1063, 1238, 461, 12887, 12562, 6076, 7938, 14917, 32, 240, 159, 154, 128] <|user|>hello<|end|> → [65537, 257, 12227, 65536] <|system|>Be concise.<|end|><|user|>\u4f60\u597d 12345!<|end|><|assistant|> → [65539, 3664, 32185, 46, 65536, 65537, 228, 189, 160, 229, 165, 189, 32, 6276, 1400, 33, 65536, 65538] GGUF-native GPT4O reconstruction; official copy rejected: GGUF retains 65279 of 156379 source merges; first ordered mismatch at index 4 is (‘Ġ’, ‘the’) versus (‘Ġt’, ‘he’) llama.cpp oracle 8d9af256337d1a501250f9bbf4c0859a654bddd6: 444 cases 484246b629d6eec375ebac3672e4f4d4fb29646d3b331917ec4d2cfe385c3b6a

from mobius.integrations.gguf import materialize_evidenced_gguf_tokenizer

materialize_evidenced_gguf_tokenizer("Qwen3.5-0.8B-Q4_0.gguf", "tokenizer")

Each row is independently artifact-scoped and proves ordered tokenizer semantics, source assets, embedding alignment, and the final materialized hash. Shared rows also require identical pinned llama.cpp dispatch. A matching complete immutable GGUF is automatically promoted to the pinned-source route during model and runtime package export; identifier-only inspection remains deferred because an identifier cannot prove artifact identity. This does not claim graph or runtime support.

Fail-closed tokenizer evidence

• glm4-7-flash-iq2-xxs-tokenizer-semantic-blocker — GGUF/source: bartowski/zai-org_GLM-4.7-Flash-GGUF@464d07505b441959737cd04d900f047469614c8d
zai-org_GLM-4.7-Flash-IQ2_XXS.gguf
  7,622,864,768 B
  b1f25d90e0da65587a5a8e359b40a9183c5a31b4908b3ee5ff370e05cc5e2ba4
zai-org/GLM-4.7-Flash@a9308079ef95921451a690cd2d16cb572e564642
chat_template.jinja 3,120 B d63ad536c3c81880043e22ec7fd08db42b4d8fb7c89c7138bc562bfa25281375, tokenizer.json 20,217,442 B 19e773648cb4e65de8660ea6365e10acca112d42a854923df93db4a6f333a82d, tokenizer_config.json 7,226 B 31a173e2797ddc8b72ac996803513e627fc28d7aad02cfcce321a431d865c86d
config.json 1,070 B dc9b97c7c9bed726a2e6939da4234d5c43abb3edec8812068c9a1af1dbc13acb
  first 9,475,456 B 803a3d88b31f81b5ac0fc541758af3c233d9d4a8e1abe7a601f2abaa52c5b382; closure: architecture deepseek2; pre glm4
  metadata 79115e0fa1bf5a8273b46eefb0e332e2b1e8957716311e8914fa76f7674d54ed
  tokens 154,880 ba346b1893686f05f8e02b9a3657d4727b5bc8a2cecbd085bbe102c85fd683fe; source 154,856 6758484fa28bf2376d0eb319c51f0f5650b03156c3258b715ff031c9bc9f25f6
  merges 321,649 7de84a5e88d436d1780d416b7c7c622800a556d691ff3c65b72c7aafcba3c47e; source 7de84a5e88d436d1780d416b7c7c622800a556d691ff3c65b72c7aafcba3c47e
  scores=0; types 5bd4e8a8434ea2e20e413eb0484d1c3b93284bc05be3f3561331f621762b4e75
  added tokens 5284ad77c6affe20bd12e85e475c3906bcad5d0c02738de923cc0c4eba547cdb; chat d63ad536c3c81880043e22ec7fd08db42b4d8fb7c89c7138bc562bfa25281375
  normalizer none; pipeline 3c411b92af43f855284604c30bd7bb39f89ff83452f7f94c2a173f5c7c44c1f2
  exact aliases=[‘chatglm-bpe’, ‘glm4’]; materialized 4ddc2c399cbef5431b5b1392a6e7417339b0ef7d096dcf2ba7658ef9327d333c; config d43221510295eff7c4afad3dfdbc8a0005e8a833fd543af4876458e2807fb132
  pipeline components={‘decoder’: ‘1d64d97add535d9ad91561aabea254849cf7f2ea4b924cc61c17152f1dd6e672’, ‘normalizer’: ‘74234e98afe7498fb5daf1f36ac2d78acc339464f950703b8c019892f982b90b’, ‘post_processor’: ‘18e6a4825c46b5a700a630cf00cb9329241348ac3b9e5eeb15b6b6936c165ffb’, ‘pre_tokenizer’: ‘65e1fe6fbe22e0df7a3877257a5e19e7b0336324a8678a75de61b6fc0df0e147’}; added-token type mismatches=7; witness: fail-closed: ordered vocabulary, merges, deterministic padding, config, and chat template are pinned, but seven source added-token flags disagree with GGUF types; pinned CHATGLM4 splits apostrophe-space-CJK differently and detokenizes token 659 without the official leading space
  ' \u597d: llama.cpp [6, 4891, 98, 121] vs source [6, 106992]
  corpus 4faf579ec80bff972046aa122be302fa1357e7ec6135fa94825b386493dfd09f; llama.cpp oracle 8d9af256337d1a501250f9bbf4c0859a654bddd6: 465 cases 2a821830ebc16fb14d8f1393002c0c17b84c3aa5af9e55765eeaec879dd6ab5f
  6 mismatches [2, 2, 2] by mode; source oracle 47d585793ea7cb663f36ff8ec48c2b474721e287044331bfe95a9eb50a0da3c2
  dispatch oracles={‘chatglm-bpe’: ‘2a821830ebc16fb14d8f1393002c0c17b84c3aa5af9e55765eeaec879dd6ab5f’, ‘glm4’: ‘2a821830ebc16fb14d8f1393002c0c17b84c3aa5af9e55765eeaec879dd6ab5f’}; discriminator=(‘bailingmoe’, 222, ‘e7eaafadd6db83e5e8e33a418526181687797249baff65dace781dbb5bdbd7bb’); detokenize mismatches=33 [11, 11, 11] by mode; .: llama.cpp hex 2e vs source hex 202e

• llada-moe-iq1-s-tokenizer-semantic-blocker — GGUF/source: mradermacher/LLaDA-MoE-7B-A1B-Instruct-i1-GGUF@2ec29fbe69f07f382a864f93b40c4eecb45e6a0a
LLaDA-MoE-7B-A1B-Instruct.i1-IQ1_S.gguf
  1,717,318,112 B
  d711df4b4f819d9abd0e107469dd525eb12d3bc05ec173b6a8438c172f70f3de
inclusionAI/LLaDA-MoE-7B-A1B-Instruct@67004f662901b09f729994d4b3c04201283941ba
special_tokens_map.json 153 B f1fa4f8b8c24126a0c2a5d9b2de0fee32abbddf22f48c068e5cf42bc0a9b68ab, tokenizer.json 7,663,358 B 4dd5931b0a63e3f61cfc1bcde132cd0c314de2f8a011ac9dbf2ff5efc40d0cbd, tokenizer_config.json 4,593 B ac03e164668db350d26b13bee7bc65fd7c4bc74595ac1fc3952ebd707b0b44a5
config.json 1,424 B 59b6b803a1bf500b45249cb553b3fa0425e4f1a431ba9e7028ef6bda33c97586
  first 6,492,640 B 1d1fe0fcc1660d86157e99bc015910f14387a24029b9ba77820c674abdc9fc85; closure: architecture llada-moe; pre llada-moe
  metadata e9b0281345bf2e3b859539f83f1738aab6552202285c437f36eee0539bc26d19
  tokens 157,184 a31a2b2abd450d5750f4f28f507ff4d95efc1371b01a992b2374f9bb5fb59b53; source 157,153 8d89e7856d4a2b466cf0aee3ace415097cf77451c7e3a6a1f1b2fb2795485ad1
  merges 156,635 0f44f5b5ed306c1f3617fbe217c8b3b3d382deb6129453fe3550e7dbf5453fac; source 0f44f5b5ed306c1f3617fbe217c8b3b3d382deb6129453fe3550e7dbf5453fac
  scores=0; types d6c379584304b9fe9ea5177810690cc6dd988960a224ca34f38d6ed08a6da10a
  added tokens b65b415bd2707c17ee6e3e2e47b5be31c9e4972536482f4953f275e616f8beb4; chat a503d55b21709d881b07ee2e9d8ce29505fa95d9f758379a9fc4ccc94272734a
  normalizer NFC; pipeline 5401b80eb39f381efb73445a78a80b51652d34a05fca4d1fb3568b5fc473a0dd
  exact aliases=[‘bailingmoe’, ‘bailingmoe2’, ‘llada-moe’]; materialized 702fd877edf627b1e01567071f161ceb96810cdd01afcf5e530b367547e757c9; config 7b2b10ad497301177b1a0ab47bbcf938b17ca5e4b843cf45f62f01efda1851b7
  pipeline components={‘decoder’: ‘1d64d97add535d9ad91561aabea254849cf7f2ea4b924cc61c17152f1dd6e672’, ‘normalizer’: ‘5628358406a1a2864e0f9e853618fc4d47d359acf10253558d0c18886de3f06e’, ‘post_processor’: ‘18e6a4825c46b5a700a630cf00cb9329241348ac3b9e5eeb15b6b6936c165ffb’, ‘pre_tokenizer’: ‘5e0cc01d5556750c556c081e65f2c0f9d9bbf8fa70dd98790cc9bfc5aafc7682’}; added-token type mismatches=0; witness: fail-closed: the exact GGUF and official source agree on ordered vocabulary prefix, merges, token types, added/special tokens, deterministic padding, config, and chat template, but the official NFC normalizer encodes decomposed e-acute as token 2900 while pinned BAILINGMOE preserves tokens 68 and 150766
  e\u0301: llama.cpp [68, 150766] vs source [2900]
  corpus 456ea43ace0bf9d548c6f5efdc7cc723832d3dd3fa7ad1d29f25d7dbf1aa210b; llama.cpp oracle 8d9af256337d1a501250f9bbf4c0859a654bddd6: 465 cases a84708473c6afa75eb4b69fceb0f65c21e9fb57c8aea44a15cc227f8d565223d
  6 mismatches [2, 2, 2] by mode; source oracle d30e15e4e8edfe0b51a9508081bb230fb58c1ad08b00b292396e7d4c719ace47
  dispatch oracles={‘bailingmoe’: ‘a84708473c6afa75eb4b69fceb0f65c21e9fb57c8aea44a15cc227f8d565223d’, ‘bailingmoe2’: ‘a84708473c6afa75eb4b69fceb0f65c21e9fb57c8aea44a15cc227f8d565223d’, ‘llada-moe’: ‘a84708473c6afa75eb4b69fceb0f65c21e9fb57c8aea44a15cc227f8d565223d’}; discriminator=(‘glm4’, 30, ‘dec7509bc51a36ee3f60cbbaf03c08bb71b3cb15cbce167d87c9e163dbdbf6c1’); detokenize mismatches=6 [2, 2, 2] by mode; e\u0301: llama.cpp hex 65cc81 vs source hex c3a9

• minicpm-2b-q2-k-tokenizer-mismatch — GGUF/source: mzwing/MiniCPM-2B-sft-bf16-GGUF@121e7290609857006939fca0ec64981009b806b9
MiniCPM-2B-sft-bf16.Q2_K.gguf
  1,204,392,288 B
  9e87235097895a22894c32a1e211f94b93b798d715cc7d99c8e846637927fd13
openbmb/MiniCPM-2B-sft-bf16@4ec16344ac13e6ef5010aeecaa533369ac8eb53c
special_tokens_map.json 414 B 6fa06efa2785e450051989a6f8fb4416b10149ded485ddd3f127a40734f5cfd0, tokenizer.json 6,202,715 B 42f73d01995bd71c88647b13ac696b36d84d5126d0c7cbaef6f8d872d5c97dff, tokenizer.model 1,994,871 B c9aafcd7da1f5611dab6be545db74d5552a2ccc9c2a12c72ea7be63aac4a25d7, tokenizer_config.json 1,117 B 9c87efade54e9b26d3374a42f294d266722cbf9e97c748a12183d8317da074c9
config.json 1,010 B 41cf26cfdca93f49209a6c0c26c00b281d6408e010ddc8cca9531c825cc17fc4
  first 16,777,216 B ff140dcf42ce544e61a8e3bd23a09edbfb1a573d7df3f266081bcbd06e33ab66; closure: architecture minicpm; pre default
  metadata 1a596fac46038c46f2fa273fd8ec10cf0721acd2ed6daf2121cfc0840da9ee3e
  tokens 122,753 154c42653082e70f4a98ed1708e8a71d41494dc1de32fe9316bcb6046b993dbe; source 122,753 154c42653082e70f4a98ed1708e8a71d41494dc1de32fe9316bcb6046b993dbe
  merges 0 None; source 4551998aaa2aa2468fc189317e85b7149a1999f38a9eddde19b523c3fa74e4b8
  scores=122753; types e89c4d81e916e4d1bee6e7d7842463429004c559d9106d7e8af73934e9e4e0eb
  added tokens 8d90db0e62037d2ae62d998473452f7d104f8f5a03322d4589fc20d86da97602; chat ae9b050c5a5b0295cb09269e67bf832fa08675dd845c7b3ea4c2130bcacc5c26
  normalizer Sequence(Prepend('\u2581'), Replace(' ', '\u2581')); pipeline 9cc85610fe636d4f21d99413627f6fcf6960886af506a3c537664ae01b421174
  source model tokens=122,753; source merges=171,540; score mismatches=122,752; type mismatches=1,087
  GGUF chat ae9b050c5a5b0295cb09269e67bf832fa08675dd845c7b3ea4c2130bcacc5c26 vs source d9f25394f8be2d8a5fb234670a8596c7a12fa0d21896b5a757d77da8b8686944; witness: fail-closed: all GGUF scores are -1000, GGUF merges are absent, token types and chat whitespace semantics diverge, and pinned llama.cpp disagrees with the official tokenizer on multilingual and whitespace inputs
  \u4f60\u597d\uff0c\u4e16\u754c\uff01: llama.cpp [29951, 95495, 65, 2925, 67] vs source [95320, 23523, 65, 2925, 67]
  corpus dd6d2aa959ab8b74111c704559252bc8ef02aa5ec13f40ef23d0b65e03233413; llama.cpp oracle 8d9af256337d1a501250f9bbf4c0859a654bddd6: 444 cases 8959cbd62821def331adc77db30e8b351e8fad221547e74804dc7aecb188df1a
  18 mismatches [6, 6, 6] by mode; source oracle a61293d6ad6fb5637f4ceafe225ac822897482d5ef5333b87f63b0e40611e9c2

• minicpm3-4b-q4-k-m-tokenizer-mismatch — GGUF/source: openbmb/MiniCPM3-4B-GGUF@816dc79b35f92827e0d2d87aacea3567e49661a8
minicpm3-4b-q4_k_m.gguf
  2,469,791,584 B
  64913247e927414ecf47fd3e9ea8e3f0c9acae293f583dfa7e24b8872e20fa4c
openbmb/MiniCPM3-4B@d6b14ddaefdb11c624dd75c3c779549bc90b08cb
added_tokens.json 216 B 4760fcbf90bc193f33827ffe02f2e7ba1af1ec43644cc02ac22fdd611f6cca15, special_tokens_map.json 1,632 B 068594063e37662c02b21acf42ebb334ef6a74fb810e68a2368f88f08351de76, tokenizer.json 3,676,758 B b00802b71a613e3f7df3899fe9643a3ff949736d333a2b892448a974383fe372, tokenizer.model 1,181,204 B bb74d51116831c3bf65db812c553f94ab0c88dcf97a5bbb37e3504f6d359c530, tokenizer_config.json 10,413 B 25620d5a3f5727bba2fb403624f2c9a7bba55a7d00205829650cd1e3c646aae0
config.json 1,929 B cf1d08cb7c1815c676e685bd6ce94eb8b85a57d53871e6e159ee8c650717d98a
  first 16,777,216 B 505ce706e29108bef3579b1b4dc38695fe44923b63f453163175d5024b4ea12e; closure: architecture minicpm3; pre default
  metadata 6dc004393b6fd1dd27f81c505cadbd8be953244999f8b6fde281fb68dff94c34
  tokens 73,448 1046ac4e64873087a848a2e033be381d18a35974f1ec0c139326c3073ad6744c; source 73,448 1046ac4e64873087a848a2e033be381d18a35974f1ec0c139326c3073ad6744c
  merges 0 None; source a6ae9d2ba560703a2f5933b92307f80f9fdebfabc052df1cb5c3542a98441cbc
  scores=73448; types ae14c00dfeff5f86796d58db7e91a7eee8fd44605d2cd3ec9846f56e52540a7e
  added tokens b6fad720564107c65861ede9747fa08a03efba82c42268e963b4883abaf4f6d0; chat 153280e3ff55d19da1398bdb3914ee2a51b80429bfaedde11d7d216c39db80f3
  normalizer Sequence(Prepend('\u2581'), Replace(' ', '\u2581')); pipeline 9cc85610fe636d4f21d99413627f6fcf6960886af506a3c537664ae01b421174
  source model tokens=73,440; source merges=104,297; score mismatches=73,439; type mismatches=1,088
  GGUF chat 153280e3ff55d19da1398bdb3914ee2a51b80429bfaedde11d7d216c39db80f3 vs source dbd75fe18b14711fa5968600a6f5c974d7d3e63e75fe163ecb99a1e5f94c38c9; witness: fail-closed: all GGUF scores are -1000, GGUF merges are absent, token types diverge, the GGUF drops the official tool-aware chat template, and pinned llama.cpp disagrees with the official tokenizer on multilingual and whitespace inputs
  \u4f60\u597d\uff0c\u4e16\u754c\uff01: llama.cpp [29951, 59495, 65, 2925, 67] vs source [59320, 23523, 65, 2925, 67]
  corpus dd6d2aa959ab8b74111c704559252bc8ef02aa5ec13f40ef23d0b65e03233413; llama.cpp oracle 8d9af256337d1a501250f9bbf4c0859a654bddd6: 444 cases d55374a7956f5379448b802ac23888c91f22aeb5fb6814f5b73efe74058fd475
  9 mismatches [3, 3, 3] by mode; source oracle d6beee40e9257575b1333e43f67709920eda0cd6249fa74cfbd8a5eaa978b4af

• north-mini-code-iq1-s-tokenizer-semantic-blocker — GGUF/source: mradermacher/North-Mini-Code-1.0-i1-GGUF@94d8eb17eaeb728f907639ee0eff457e3e274667
North-Mini-Code-1.0.i1-IQ1_S.gguf
  6,455,984,128 B
  660792f0dd77ef2e39e92549bd88bbb0f91734371a3763816648fe77f23fb4dc
CohereLabs/North-Mini-Code-1.0@d11e61a842617a22dc328552fa5bb86231ee4f37
chat_template.jinja 12,397 B d8366efb9f07c571da620ce6a924594fc52c80273a0fbb46a38b643972df95fd, tokenizer.json 28,217,141 B 14bd1c49d7d11874921d324986713df4be21cd06060530c497dacef99919b7a5, tokenizer_config.json 8,954 B 1f45bd13ca86efccb5f74bf51a78c5e06f9066a5d4211499c7f81890f31d1da2
config.json 2,342 B 0c987a88193e90c89a88a9dbeaba6844f5f24d00b728683338e2ace1476509a7
  first 10,428,416 B 9f38c617b8cd6fb3481cb1d73981cbbbd112e0e745b7cbd2e29c568ec11e76bb; closure: architecture cohere2moe; pre cohere2moe
  metadata f164bb71b8a23b6fc0ca47163aa5effb62a6c7d3e92c1767590568ad0af7cbda
  tokens 262,144 0d3ced2dd51c9cf8301847cf4204a7aa01d49fe23f83dca528f6736466d1b277; source 255,032 7ba11060fa3a8e3c527f75c69fed607660884a6d0ddafeba886dbae7695b538f
  merges 254,739 79d571d309587b881fa56c5970d5de74ad6f3b4fde1af8a6356215ffc80d0fd6; source 79d571d309587b881fa56c5970d5de74ad6f3b4fde1af8a6356215ffc80d0fd6
  scores=0; types 1c9ddca34d7f702a00b1f1795ebac3000980eb1104391e187243a49dc0cc4ead
  added tokens 62d98ff38dd8063a41e4d83a0282505044a654de200af9d020dce0422b386deb; chat d8366efb9f07c571da620ce6a924594fc52c80273a0fbb46a38b643972df95fd
  normalizer none; pipeline 68557134f65a45f8f2bb7e6dd6d74b6850a5ed3d1efdfa43c1d2f6c56500d329
  exact aliases=[‘cohere2moe’, ‘tiny_aya’]; materialized aa959ea5a543284ab7184a854c7f634223d3dfba40d2677f1078f8539303224b; config d33b45ace16bf59557c1e2b9b43d4bceb27d9f616304dfe59557abe7b0192e27
  pipeline components={‘decoder’: ‘1d64d97add535d9ad91561aabea254849cf7f2ea4b924cc61c17152f1dd6e672’, ‘normalizer’: ‘74234e98afe7498fb5daf1f36ac2d78acc339464f950703b8c019892f982b90b’, ‘post_processor’: ‘78dd5da36e83b02e49ef646d6bf6fcbba0f9dbd68cb9a4885929efd1725664cb’, ‘pre_tokenizer’: ‘2778061f55c126b60e47da281317473fb373737f22ffe90419ed8efd7c9406cb’}; added-token type mismatches=23; witness: fail-closed: ordered vocabulary, merges, deterministic padding, config, and chat template are pinned, but 23 source added-token flags disagree with GGUF types and pinned TINY_AYA splits tab-space differently from the official North tokenizer
  \t 9: llama.cpp [202, 225, 29] vs source [13396, 29]
  corpus ebd7b4f412ebf503c1ba171cdcd2aef3b9e5a4a28e3fd7a8e6f391be57df54f5; llama.cpp oracle 8d9af256337d1a501250f9bbf4c0859a654bddd6: 465 cases c4736b65ca7e9b609b269068990842fa3538f2fc76081db010e464fe0cdb7c86
  14 mismatches [6, 4, 4] by mode; source oracle c56b02c040f04640c56f0821b2beb694d4570005e42ba4ceb47502ef38ac717f
  dispatch oracles={‘cohere2moe’: ‘c4736b65ca7e9b609b269068990842fa3538f2fc76081db010e464fe0cdb7c86’, ‘tiny_aya’: ‘c4736b65ca7e9b609b269068990842fa3538f2fc76081db010e464fe0cdb7c86’}; discriminator=(‘glm4’, 69, ‘814ab562958b77eaa6dbffc4e8ae2883c5ffd259f96c411ca2912c60574ab5cc’); detokenize mismatches=0 [0, 0, 0] by mode

• plm-1.8b-instruct-q4-k-m-tokenizer-blocker — GGUF/source: PLM-Team/PLM-1.8B-Instruct-gguf@7bec6546983bcf0d99526c943580bd49e2237445
PLM-1.8B-Instruct-Q4_K_M.gguf
  1,182,708,992 B
  b38570ee56ebec82a1e9ef45ab408c0d8230ececef1d7f1b267c49cff35638b8
PLM-Team/PLM-1.8B-Instruct@62d188c7d58843d7013d5b3ffe198db448787860
merges.txt 1,671,853 B 8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5, special_tokens_map.json 410 B c83747485fba9ef20c42793b4b02b05001f214250f0d787f573df216c91047a3, tokenizer.json 11,418,266 B bcfe42da0a4497e8b2b172c1f9f4ec423a46dc12907f4349c55025f670422ba9, tokenizer_config.json 1,327 B 1becffcfa09c98935043f1724d988887c618c5f6e7a249087d3ae29eb70e2a6f, vocab.json 2,776,833 B ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
config.json 934 B 91e6e13695a6de82556438667e64b60d9910269f300cd97f8c667d19e75f115e; closure: architecture plm; pre qwen2
  metadata 698bfa31cd069292437bc3509fea7be2445324a536d95a6e813d947c283bd989
  tokens 151,936 f3ea8e8cf45bd58a8d5ad420306a3ccd925894cdb61a89062fd9e3a6de255a0e; source 151,646 696f26322524de87f49427fd1be6d1afce910574d9656c5d3f4f64064bdb83c1
  merges 151,387 24fa2ae2a398e50784a1fff678482094af4f63e6783d35686726abacda8dc371; source cc098baa4a74ce5156487605aa048a34e54f0eee6a704691a738c8fb22dafdd5
  scores=0; types 0286431feb975d95a59a3f39957f8183d929295635fb627b6940627c63918bf1
  added tokens e7b5f7013431aa26739424d92f40423f175a46f6d1fdc8453edf6005c99412f7; chat af9c0233881b083b52ff773580215222b5440ac3d0beeeca99b76329b048f8db
  normalizer NFC; pipeline 97c53ee89fb584b10798f44b02c60c9a8b746165a32dc34737d178fc20618a69; witness: official tokenizer.json applies NFC normalization, but pinned llama.cpp qwen2 preserves decomposed Unicode; exact materialization is blocked
  e\u0301 \xe9: llama.cpp [68, 53839, 3958] vs source [963, 3958]
  corpus 0f3c77d24208f2ac0833668128cb2a00adcb7e6b4b4eedc6e4783e3ec7b41f5a; llama.cpp oracle 8d9af256337d1a501250f9bbf4c0859a654bddd6: 72 cases 66513168812575ccac974ecb454e916def5f4492d558c1866b8811d4f587a41d

The MiniCPM, Gemma4, and final alias-group fixtures are reproducible through scripts/generate_*tokenizer*.py, which validates immutable bounded headers and official tokenizer hashes, builds tokenizer-only GGUFs and the pinned llama.cpp helper, then recomputes exact outputs and mismatch witnesses. Committed Gemma4 and alias-group inputs replay materialized identities network-free; the alias oracle never calls the production reconstruction.

Supported GGUF architectures

Reason codes are concise user-facing categories; detailed architecture audits remain in _arch_registry.py and its tests.

Canonical architecture	Aliases	Import route	Tensor exactness	Config/tensor/graph/runtime/quantized import	Restriction or evidence gap
afmoe	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — AFMoE combines sandwich norms, Q/K norms, sigmoid-gated attention, MuP embedding scaling, a dense prefix, correction-biased routed/shared experts, and optional interleaved sliding-window attention.
apertus	—	model=apertus; tensor=llama+apertus_extras	exact-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=supported; quantized_import=supported	EVIDENCED_SCOPE — Runtime support is restricted to the pinned Apertus-v1.1-1.5B-Instruct BF16 artifact’s exact-float CPU route, official tokenizer revision, full-logit stateful evidence, and ORT GenAI 0.15.2.
arcee	—	model=arcee; tensor=arcee	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
arctic	—	model=arctic; module=arctic_gguf; tensor=llama+arctic_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — The mobius graph uses floating Linear modules for this architecture, so no MatMulNBits or BlockQuantizedMatMul target can consume preserved GGUF projection weights.
arwkv7	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — ARWKV7 wraps RWKV7’s delta-rule matrix recurrence in a distinct one-shift RMSNorm/Qwen residual topology with optional five-versus-six-way interpolation, optional gate/group norm, and Qwen SwiGLU.
baichuan	—	model=baichuan; tensor=llama	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
bailingmoe	—	model=bailing_moe; tensor=llama+diffusion_fused_qkv+moe_extras	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
bailingmoe2	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — BailingMoE2 serializes complete dense-or-routed/shared expert trailing blocks plus NextN and layer-output norms, but the pinned loader marks every trailing tensor skipped and exposes no MTP graph.
bailingmoe3	—	none (fails before config extraction)	not claimed	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — BailingMoE3 alternates head-wise KDA recurrent layers with gated MLA layers, so each sequence carries three causal-convolution histories plus a matrix state alongside attention cache.
bert	—	model=bert; tensor=bert	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact pinned tensor closure, encoder-only task dispatch, and synthetic ORT execution are covered, but no pinned real GGUF artifact has passed independent embedding parity.
bitnet	—	model=bitnet; tensor=bitnet	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — The exact float route is implemented: TQ1_0/TQ2_0 blocks are dequantized by the pinned gguf reader, optional scalar projection scales are folded into those values, and the dedicated graph owns both sub-norms.
bloom	—	model=bloom; tensor=bloom	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Quantization preservation is rejected because canonical Bloom GGUF stores one fused QKV projection that must be reordered and split into three graph targets.
chameleon	—	none (fails before config extraction)	exact-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — The pinned Chameleon converter deliberately omits the VQ image tokenizer while the text graph still requires bias-bearing Q/K norms, an additional swin_norm, and image-vocabulary logit suppression.
chatglm	—	model=chatglm; tensor=chatglm; mmproj=generic_projector	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Quantization preservation is rejected because fused QKV and gate/up tensors must be split into separate packed graph targets.
clip	—	none (fails before config extraction)	not claimed	config=rejected; tensor_map=rejected; graph=rejected; runtime=rejected; quantized_import=rejected	CONFIG_REJECTED — This is a multimodal projector sidecar, not a language model.
codeshell	—	model=kclgpt; tensor=legacy_layernorm	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Quantization preservation is rejected because the pinned loader accepts a fused QKV tensor that must be split into separate graph projections.
cogvlm	—	none (fails before config extraction)	exact-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — The pinned CogVLM text graph has modality-routed visual-expert Q/K/V/output and FFN banks in addition to the language projections.
cohere2	—	model=cohere2; tensor=llama	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
cohere2moe	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — Cohere2MoE’s executable head uses sigmoid routed fused-or-split experts, optional shared experts, no FFN norm, and interleaved sliding-window KV state.
command-r	—	model=command_r; tensor=llama+command_r_extras	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Import requires canonical logit_scale metadata and is restricted to split Q/K/V tensors in the 40-layer Command-R profile; quantization preservation is supported only for that split route.
dbrx	—	model=dbrx; module=dbrx_gguf; tensor=llama+dbrx_extras+moe_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — The mobius graph uses floating Linear modules for this architecture, so no MatMulNBits or BlockQuantizedMatMul target can consume preserved GGUF projection weights.
deci	—	model=llama; tensor=llama	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
deepseek	—	model=deepseek; tensor=llama+diffusion_fused_qkv+deepseek_shared_moe_extras	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
deepseek2	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — DeepSeek2 MTP is a complete MLA plus routed/shared MoE block with compressed KV cache, Q/KV LoRA alternatives, target-owned embedding/head fallbacks, and architecture-specific gating.
deepseek2-ocr	—	none (fails before config extraction)	exact-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — DeepSeek-OCR2 is a paired text-plus-vision package, not a generic DeepSeek text model.
deepseek32	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — DeepSeek3.2 extends the DeepSeek2 MLA/MoE head with DSA indexer projections, normalization, bias, and sparse-cache metadata.
deepseek4	—	none (fails before config extraction)	not claimed	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — The pinned DeepSeek-V4 GGUF runtime uses a dedicated raw sliding-window, CSA, HCA, and indexer compressed-cache ABI with persistent compressor state, rollback snapshots, four-stream hyper-connections, hash/sqrt-softplus routing, and optional MTP storage.
dflash	—	model=DFlashDraftModel; tensor=dflash	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	DIRECT_ORT_EVIDENCED / RUNTIME_UNVALIDATED — Exact target-coupled direct ORT acceptance, rollback, and deterministic generation are evidenced; higher-level runtime compatibility remains advisory.
dots1	—	model=dots1; tensor=llama+diffusion_fused_qkv+moe_qk_norm_extras+deepseek_shared_moe_extras	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
dots3note	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — Dots3Note preserves an MLA/DSA trunk and a dense sliding-MLA NextN block, but the pinned loader explicitly has no MTP graph and skips the head.
dream	—	model=dream; tensor=llama+diffusion_fused_qkv	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, suffix-exact tensor closure, masked-diffusion task dispatch, and synthetic full-sequence execution are covered, but no pinned real GGUF has passed independent Hugging Face/llama.cpp masked-step logit parity and deterministic multi-step generation parity.
eagle3	—	model=Eagle3DraftModel; tensor=eagle3	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	DIRECT_ORT_EVIDENCED / RUNTIME_UNVALIDATED — Exact target-coupled direct ORT acceptance, rollback, and deterministic generation are evidenced; higher-level runtime compatibility remains advisory.
ernie4_5	—	model=ernie4_5; module=gguf_legacy; tensor=legacy_layernorm	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Import is narrowed to the dense split-Q/K/V, split-SwiGLU, full-RoPE variant and rejects all expert, fused, sectioned-position, and bias alternatives.
ernie4_5-moe	—	model=ernie4_5_moe; module=ernie4_5_moe_gguf; tensor=llama+moe_extras+ernie45_moe_extras	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — The mobius graph uses floating Linear modules for this architecture, so no MatMulNBits or BlockQuantizedMatMul target can consume preserved GGUF projection weights.
eurobert	—	model=eurobert; module=eurobert_gguf; tensor=eurobert	exact-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Config extraction, exact pinned tensor closure, encoder-only task dispatch, and synthetic ORT execution are covered, but no pinned real GGUF artifact has passed independent embedding parity.
exaone	—	model=exaone; tensor=llama	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
exaone-moe	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — EXAONE-MoE serializes a dense trailing NextN block after an iSWA routed/shared expert trunk, but the pinned loader skips appended blocks.
exaone4	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — EXAONE4 serializes attention/FFN post-norm trailing blocks and NextN tensors with optional synthetic Llama3 RoPE factors, but the pinned loader skips them.
falcon	—	model=falcon; tensor=falcon	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
falcon-h1	—	model=falcon_h1; tensor=falcon_h1	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — The dedicated graph and GGUF importer preserve parallel Attention+Mamba2 layers and their four-state ABI.
gemma	—	model=gemma; tensor=llama	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
gemma-embedding	—	model=gemma3_text; module=gemma_embedding_gguf; tensor=gemma_embedding	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — The exact float embedding graph and package ABI are covered, but no onnxruntime-genai embedding package schema/runtime evidence is recorded.
gemma2	—	model=gemma2; tensor=llama+gemma2_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
gemma3	—	model=gemma3_text; tensor=llama+gemma3_extras; mmproj=gemma3	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
gemma3n	—	none (fails before config extraction)	exact-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — Gemma3n GGUF is the text member of a vision-and-audio package whose gemma3nv and gemma3na clip companions carry distinct encoders and projectors.
gemma4	—	model=gemma4_text; tensor=llama+gemma4_extras; mmproj=gemma4	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
gemma4-assistant	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — Gemma4 Assistant is a standalone target-coupled model with pre/post projections, masked embeddings, scalar layer scales, its own KV cache, and a live target-model context.
glm-dsa	glm_dsa	model=glm_moe_dsa; tensor=glm_dsa	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Exact explicit-float MLA, DSA indexer, dense-prefix/routed-MoE tensor routing, and packed dynamic-cache graph construction are covered.
glm4	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — GLM4 serializes complete fused-FFN trailing blocks and NextN tensors, but the pinned loader skips appended blocks; GLM-OCR converter transforms also permute Q/K for M-RoPE.
glm4moe	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — GLM4-MoE serializes biased attention and periodic dense/routed expert trailing blocks with mandatory router bias, but the pinned loader skips them.
gpt-oss	—	none (fails before config extraction)	not claimed	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — The pinned GPT-OSS converter splits interleaved gate/up expert rows and repacks checkpoint block+scale tensors into expert-major MXFP4 values.
gpt2	—	model=gpt2; tensor=gpt2	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=supported; quantized_import=rejected	FLOAT_IMPORT_ONLY — Runtime support is restricted to the exact evidenced GPT-2 Q2_K artifact, explicit-float CPU import route, pinned tokenizer, and ORT GenAI 0.15.2.
gptj	—	none (fails before config extraction)	no-loader	config=rejected; tensor_map=rejected; graph=rejected; runtime=rejected; quantized_import=supported	CONFIG_REJECTED — The pinned census reserves gptj but llama.cpp has no model loader for it.
gptneox	—	model=gpt_neox; module=gguf_legacy; tensor=legacy_layernorm	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=supported; quantized_import=rejected	FLOAT_IMPORT_ONLY — Runtime support is restricted to the exact evidenced Pythia-70M Q2_K artifact, explicit-float portable graph, pinned tokenizer, and ORT GenAI 0.15.2.
granite	—	model=granite; tensor=llama+diffusion_fused_qkv+moe_extras	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Exact float and quantization-preserving import covers the pinned dense-or-MoE union, fused or split QKV, optional projection biases, ungated shared experts, and Granite scaling.
granite_swa	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — Granite SWA requires attention sinks, a complete interleaved sliding-window schedule, residual/logit scaling, fused routed gate-up experts, and optional fused shared experts/deep-stack injection.
granitehybrid	—	model=granitemoehybrid; tensor=granitehybrid	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Exact mixed attention/Mamba2 scheduling, architecture-wide dense or routed MoE feed-forward selection, optional shared experts, Granite scaling, value-preserving float expert fusion, and strict pinned tensor closure are supported.
granitemoe	—	model=granitemoe; tensor=llama+moe_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
graniteswitch	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — GraniteSwitch repurposes an appended synthetic layer as a token-history-driven adapter router and carries fourteen switched-LoRA tensors per block in addition to decoder KV state.
grok	—	model=grok_gguf; module=grok_gguf; tensor=grok	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — The mobius graph uses floating Linear modules for this architecture, so no MatMulNBits or BlockQuantizedMatMul target can consume preserved GGUF projection weights.
grovemoe	—	model=grovemoe_gguf; module=grovemoe_gguf; tensor=grovemoe	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — The mobius graph uses floating Linear modules for this architecture, so no MatMulNBits or BlockQuantizedMatMul target can consume preserved GGUF projection weights.
hunyuan-dense	hunyuan_v1_dense	model=hunyuan_v1_dense; tensor=llama+hunyuan_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
hunyuan-moe	—	model=hunyuan_moe_gguf; module=hunyuan_moe_gguf; tensor=hunyuan_moe	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — The mobius graph uses floating Linear modules for this architecture, so no MatMulNBits or BlockQuantizedMatMul target can consume preserved GGUF projection weights.
hunyuan_vl	—	none (fails before config extraction)	exact-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — The pinned Hunyuan-VL decoder uses its own M-RoPE and Q/K-normalized text contract and pairs with a hunyuanvl clip sidecar.
hy_v3	—	model=hy_v3; tensor=llama+hy_v3_extras	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Exact full-attention trunk and independently cached NextN sidecar graphs are covered, including per-head Q/K RMSNorm, a contiguous dense prefix, selection-biased sigmoid routed SwiGLU experts, and an ungated shared expert.
internlm2	—	model=internlm2; tensor=llama	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — The mobius graph uses floating Linear modules for this architecture, so no MatMulNBits or BlockQuantizedMatMul target can consume preserved GGUF projection weights.
jais	—	model=jais; module=gguf_legacy; tensor=legacy_layernorm	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Converter-baked MuP scales are retained exactly, while fused biased QKV must be split and therefore cannot preserve packed quantization.
jais2	—	model=jais2; tensor=legacy_layernorm	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
jamba	—	model=jamba; tensor=jamba	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Exact mixed attention/Mamba and dense/routed-MoE schedules, strict tensor closure and shapes, GGUF value transforms, compatible projection quantization, value-checked expert ordering, reduced Transformers parity, and multi-token ORT state threading, reorder, and replay are covered.
jina-bert-v2	—	model=bert; module=jina_bert_v2_gguf; tensor=jina_bert_v2	exact-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Config extraction, exact pinned tensor closure, encoder-only task dispatch, and synthetic ORT execution are covered, but no pinned real GGUF artifact has passed independent embedding parity.
jina-bert-v3	—	model=jina-bert-v3; module=jina_bert_v3_gguf; tensor=jina_bert_v3	exact-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — The dedicated graph and float importer preserve the pinned RoPE, post-norm, and sequential GELU contracts of the reachable dense loader path.
kimi-k3	—	model=kimi_k3; tensor=kimi_k3	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — The exact KDA/NoPE gated-MLA schedule, four-state recurrent ABI, attention-residual banks, Stable LatentMoE routing, SiTU activation, strict metadata/tensor closure, and compatible projection quantization are supported.
kimi-linear	—	model=kimi_linear; tensor=kimi_linear	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — The exact KDA/NoPE-MLA schedule, four-state recurrent ABI, dense/MoE topology, correction-bias routing, pinned metadata, tensor closure, and compatible MatMul/expert quantization are supported.
laguna	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — Laguna combines per-head-or-element softplus attention gates, dual-RoPE interleaved sliding-window attention, a dense prefix, and sigmoid correction-biased routed/shared experts.
lfm2	—	model=lfm2; tensor=lfm2	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=supported; quantized_import=supported	EVIDENCED_SCOPE — Runtime support is restricted to LiquidAI’s official LFM2-350M F16 artifact, pinned CPU import route, exact tokenizer revision, hybrid convolution/KV state evidence, and ORT GenAI 0.15.2.
lfm2moe	—	model=lfm2_moe; tensor=lfm2+lfm2_moe_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Config extraction, exact pinned tensor-name closure, GGUF value transforms, and synthetic recurrent-state execution are covered, but no representative real-weight GGUF has yet passed independent full-logit parity and deterministic multi-token stateful ORT generation.
llada	—	model=llada; tensor=llama	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, suffix-exact tensor closure, masked-diffusion task dispatch, and synthetic full-sequence execution are covered, but no pinned real GGUF has passed independent Hugging Face/llama.cpp masked-step logit parity and deterministic multi-step generation parity.
llada-moe	—	model=llada; module=llada_moe; tensor=llama+diffusion_fused_qkv+moe_qk_norm_extras+moe_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, suffix-exact tensor closure, masked-diffusion task dispatch, and synthetic full-sequence execution are covered, but no pinned real GGUF has passed independent Hugging Face/llama.cpp masked-step logit parity and deterministic multi-step generation parity.
llama	mistral	model=llama; tensor=llama; mmproj=generic_projector	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=supported; quantized_import=supported	EVIDENCED_SCOPE — Runtime support is restricted to exact structured evidence matches.
llama-embed	—	model=llama; module=llama_embed_gguf; tensor=llama_embedding	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Only the complete dense, split-QKV, unbiased, default-RoPE float profile is promoted.
llama4	—	none (fails before config extraction)	exact-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — Llama4 GGUF is the text member of a paired multimodal package and may contain routed experts and architecture-specific cross-modal layer scheduling.
maincoder	—	model=maincoder; tensor=llama+exact_legacy_gguf_extras	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Exact float import is covered with learned per-head Q/K RMSNorm after adjacent-pair RoPE, sequential pre-norm SwiGLU blocks, causal GQA cache, and a tied output head.
mamba	—	model=mamba; tensor=mamba	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Config extraction, exact pinned tensor-name closure, GGUF value transforms, and synthetic recurrent-state execution are covered, but no representative real-weight GGUF has yet passed independent full-logit parity and deterministic multi-token stateful ORT generation.
mamba2	—	model=mamba2; tensor=mamba2	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Config extraction, exact pinned tensor-name closure, GGUF value transforms, and synthetic recurrent-state execution are covered, but no representative real-weight GGUF has yet passed independent full-logit parity and deterministic multi-token stateful ORT generation.
mellum	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — Mellum requires an untied head, Q/K norms, routed experts in every layer, and a metadata-defined full/sliding attention schedule with distinct RoPE behavior.
mimo2	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — MiMo2 requires fused-QKV dense MTP blocks, attention sinks, interleaved sliding KV cache, and three chained heads selected by offsets.
minicpm	—	model=minicpm; module=minicpm_gguf; tensor=llama; mmproj=generic_projector	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Exact dense graph import, tensor closure, scaling, LongRoPE factors, Q/K transforms, and expanded dynamic K/V cache are covered.
minicpm3	—	model=minicpm3; module=minicpm3_gguf; tensor=minicpm3	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Exact Q/KV-LoRA MLA graph import with expanded K/V cache is covered.
minimax-01	—	model=minimax; tensor=minimax	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Graph import is exact, but released ORT GenAI packaging cannot represent the heterogeneous KV/recurrent state slots or bounded rollback snapshots; runtime packaging remains tracked by #605.
minimax-m2	—	model=minimax_m2_gguf; module=minimax_m2_gguf; tensor=minimax_m2	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Exact explicit-float import owns MiniMax-M2’s non-square Q/O geometry, full-vector Q/K RMSNorm, partial NeoX RoPE, standard dynamic/static KV cache, and F32 selection-biased sigmoid MoE routing.
minimax-m3	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — MiniMax-M3 adds F32 sparse-indexer tensors and a second index-key cache with position/cell maps, block masks, rollback, and reorder semantics alongside main K/V state.
mistral3	—	none (fails before config extraction)	exact-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — The pinned Mistral3 loader selects dense or routed-expert text blocks from metadata and applies architecture-specific output temperature scaling.
mistral4	—	model=mistral4_gguf; module=mistral4_gguf; tensor=mistral4	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Exact explicit-float import owns Mistral4’s DeepSeek-V2 MLA projections, dense-prefix plus mandatory shared/routed MoE blocks, YaRN scaling, and one graph-visible latent-plus-RoPE K cache per layer.
modern-bert	—	model=modernbert; tensor=modern_bert	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact pinned tensor closure, encoder-only task dispatch, and synthetic ORT execution are covered, but no pinned real GGUF artifact has passed independent embedding parity.
mpt	—	model=mpt; module=gguf_legacy; tensor=legacy_layernorm	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=supported; quantized_import=rejected	FLOAT_IMPORT_ONLY — Runtime support is restricted to the exact evidenced tiny MPT Q2_K artifact, explicit-float portable graph, pinned tokenizer, and ORT GenAI 0.15.2.
muse-glimmer	muse_glimmer	model=muse_glimmer_text; tensor=llama+muse_glimmer_extras; mmproj=muse_glimmer	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
nanbeige	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — Nanbeige reuses physical layer weights across a configurable logical loop count, optionally normalizes between loops, and allocates a distinct KV slot for every logical occurrence.
nemotron	—	model=nemotron; tensor=llama	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
nemotron_h	—	model=nemotron_h; tensor=nemotron_h	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Config extraction, exact pinned tensor-name closure, GGUF value transforms, and synthetic recurrent-state execution are covered, but no representative real-weight GGUF has yet passed independent full-logit parity and deterministic multi-token stateful ORT generation.
nemotron_h_moe	—	model=nemotron_h; tensor=nemotron_h_moe	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Exact mixed attention/Mamba2/dense/MoE scheduling, sigmoid correction-bias routing, shared experts, optional latent projections, and strict GGUF tensor closure are supported.
neo-bert	—	model=neobert; module=neo_bert_gguf; tensor=neo_bert	exact-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Config extraction, exact pinned tensor closure, encoder-only task dispatch, and synthetic ORT execution are covered, but no pinned real GGUF artifact has passed independent embedding parity.
nomic-bert	—	model=nomic_bert; module=nomic_bert_gguf; tensor=nomic_bert	exact-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Config extraction, exact pinned tensor closure, encoder-only task dispatch, and synthetic ORT execution are covered, but no pinned real GGUF artifact has passed independent embedding parity.
nomic-bert-moe	—	model=nomic_bert_moe; module=nomic_bert_moe_gguf; tensor=nomic_bert+nomic_bert_moe_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Config extraction, exact pinned tensor closure, encoder-only task dispatch, and synthetic ORT execution are covered, but no pinned real GGUF artifact has passed independent embedding parity.
olmo	—	model=olmo; tensor=olmo	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=supported; quantized_import=supported	EVIDENCED_SCOPE — Runtime support is restricted to the exact evidenced tiny OLMo Q2_K artifact, explicit-float CPU import route, pinned tokenizer, and ORT GenAI 0.15.2.
olmo2	—	model=olmo2; tensor=llama+olmo2_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
olmoe	—	model=olmoe; tensor=llama+moe_qk_norm_extras+moe_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
openelm	—	model=openelm; module=gguf_legacy; tensor=legacy_layernorm+exact_legacy_gguf_extras	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Quantization preservation is rejected because every OpenELM layer stores fused QKV rows that must be split into per-layer Q/K/V graph projections.
orion	—	model=orion; tensor=legacy_layernorm	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Fused QKV input is rejected because its import transform is not implemented.
paddleocr	—	none (fails before config extraction)	strongest-converter-family-inventory-loader-inherited-from-ernie4_5-with-optional-attn-output-bias	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — PaddleOCR-VL uses an ERNIE-derived GGUF loader with an optional bias on attention output closure and a required paddleocr clip vision/projector sidecar.
pangu-embedded	—	model=pangu_embedded; tensor=llama	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Import is intentionally restricted to split Q/K/V tensors and ordinary full-head RoPE.
phi2	—	model=phi; tensor=phi2	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Quantization preservation is rejected because the Phi-2 attention, MLP, and output graph uses float-only linear modules.
phi3	—	model=phi3; tensor=phi3	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
phimoe	—	model=phimoe; module=phimoe_gguf; tensor=llama+phi3+moe_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
plamo	—	model=plamo; module=gguf_plamo; tensor=plamo	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Exact graph/config/tensor import is implemented for the pinned PLaMo-13B converter contract.
plamo2	—	model=plamo2; tensor=plamo2	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — The dedicated graph and GGUF importer preserve PLaMo2’s alternating Mamba1/attention layers and mixed state ABI.
plamo3	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — PLaMo3 requires fused QKV and fused SwiGLU, four norm sites with architecture-specific offset transforms, Q/K norm before RoPE, and a periodic full/sliding attention state (seven sliding layers then one full layer by default).
plm	—	model=plm; tensor=plm	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
pockettts	—	none (fails before config extraction)	not claimed	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — The primary GGUF is only PocketTTS’s transformed causal CALM backbone: its embedding table contains folded learned conditioning rows and its duplicated embedding output is not a semantic LM head.
qwen	—	model=qwen; tensor=llama+qwen1_extras	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Quantization preservation is rejected because Qwen v1 stores fused QKV weights that must be split into separate graph projections.
qwen2	—	model=qwen2; tensor=llama	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=supported; quantized_import=supported	EVIDENCED_SCOPE — Runtime support is restricted to the official Qwen2.5-0.5B-Instruct Q8_0 artifact, pinned CPU import route, exact tokenizer revision, and ORT GenAI 0.15.2 evidence.
qwen2moe	qwen2_moe	model=qwen2_moe; tensor=llama+moe_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
qwen2vl	—	model=qwen2_vl_text; tensor=llama; mmproj=qwen_vl	exact-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Text and paired Qwen2/Qwen2.5-VL projector graph import are supported for the exact split-QKV llama.cpp artifacts, but downstream multimodal runtime execution has not been evidenced.
qwen3	—	model=qwen3; tensor=llama+moe_qk_norm_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
qwen35	—	model=qwen3_5_text; tensor=llama+qwen35_hybrid_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact pinned tensor-name closure, GGUF value transforms, and synthetic recurrent-state execution are covered, but no representative real-weight GGUF has yet passed independent full-logit parity and deterministic multi-token stateful ORT generation.
qwen35moe	—	model=qwen3_5_moe; tensor=llama+moe_extras+qwen35_hybrid_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=supported; quantized_import=supported	EVIDENCED_SCOPE — Runtime support is restricted to the pinned Q2_K reduced checkpoint’s explicit-float CPU route, exact tokenizer revision, hybrid KV/convolution/recurrent-state evidence, and ORT GenAI 0.15.2.
qwen3moe	qwen3_moe	model=qwen3_moe; tensor=llama+moe_qk_norm_extras+moe_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
qwen3next	—	model=qwen3_next; tensor=llama+moe_extras+qwen3next_hybrid_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact pinned tensor-name closure, GGUF value transforms, and synthetic recurrent-state execution are covered, but no representative real-weight GGUF has yet passed independent full-logit parity and deterministic multi-token stateful ORT generation.
qwen3tts	—	none (fails before config extraction)	not claimed	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — The primary GGUF is only a transformed Qwen3-TTS talker backbone, not the existing Mobius Qwen3TTS conditional-generation or codec model.
qwen3vl	—	none (fails before config extraction)	exact-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — Qwen3-VL text GGUF requires multimodal position IDs and an exact qwen3vl_merger clip companion, including deep-stack vision features and architecture-specific token placement.
qwen3vlmoe	—	none (fails before config extraction)	exact-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — Qwen3-VL-MoE combines the Qwen3-VL multimodal position/token contract and merger sidecar with routed experts in the text backbone.
qwen4exp	—	header/config/tensor preflight only; model=qwen4_exp_text; tensor=qwen4exp	exact pinned 3-shard artifact header closure	config=supported; tensor_map=supported; graph=deferred; runtime=deferred; quantized_import=rejected	GRAPH_DEFERRED — Exact header/config/tensor preflight is implemented, but no executable graph import route is claimed.
refact	—	model=refact; module=gguf_legacy; tensor=legacy_layernorm	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Import is narrowed to split, bias-free dense tensors with one KV head; loaded-but-unexecuted expert, RoPE-factor, and bias families are rejected.
rnd1	—	model=llada; module=rnd1; tensor=llama+diffusion_fused_qkv+moe_qk_norm_extras+moe_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, suffix-exact tensor closure, masked-diffusion task dispatch, and synthetic full-sequence execution are covered, but no pinned real GGUF has passed independent Hugging Face/llama.cpp masked-step logit parity and deterministic multi-step generation parity.
rwkv6	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — RWKV6 carries two F32 states per layer (two token-shift vectors and a per-head WKV matrix) and applies token-dependent exp(-exp(decay)), a time_first read-before-update term, per-head group norm, and cumulative rescale transforms.
rwkv6qwen2	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — RWKV6-Qwen2 is neither Qwen2 attention nor native RWKV6: it carries one F32 token-shift vector plus a per-head matrix state and uses k*(1-w) gated linear attention, optional biased/GQA projections, a sigmoid gate, and parallel Qwen SwiGLU.
rwkv7	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — RWKV7 requires a two-shift F32 state plus a per-head matrix state, generalized delta-rule recurrence, six-way token mixing, first-layer value residuals shared across depth, ICLR/key-adaptation vectors, and an r_k residual around LayerNorm and group norm.
seed_oss	—	model=seed_oss; tensor=llama+seed_oss_extras	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
smallthinker	—	model=smallthinker_gguf; module=smallthinker_gguf; tensor=smallthinker	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — The exact float-import graph owns SmallThinker’s pre-norm router, ReGLU experts, metadata-selected sigmoid/softmax gate, and per-layer SWA/NoPE schedule.
smollm3	—	model=smollm3; tensor=llama	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
stablelm	—	model=stablelm; tensor=llama	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Config extraction, exact tensor-name closure, and a full synthetic GGUF graph build are covered, but no representative real-weight GGUF has yet passed ORT parity or generation validation.
starcoder	—	model=gpt_bigcode; tensor=starcoder	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=supported; quantized_import=rejected	FLOAT_IMPORT_ONLY — Runtime support is restricted to the exact evidenced tiny StarCoder Q2_K artifact, explicit-float CPU import route, pinned tokenizer, and ORT GenAI 0.15.2.
starcoder2	—	model=starcoder2; tensor=llama	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=supported; quantized_import=supported	EVIDENCED_SCOPE — Runtime support is restricted to the exact evidenced tiny StarCoder2 Q2_K artifact, explicit-float CPU import route, pinned tokenizer, and ORT GenAI 0.15.2.
step35	—	none (fails before config extraction)	audited-direct-loader-conditional-union	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — Step3.5 executes one or more interleaved-SWA NextN heads with optional gates, routed/shared experts, centered-norm transforms, per-layer head geometry, and dedicated cache offsets.
t5	—	model=t5; tensor=t5	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Graph import is covered, but no independent full-logit and generation parity run has yet validated a pinned real T5 GGUF runtime package.
t5encoder	—	model=t5encoder; tensor=t5	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=supported	RUNTIME_EVIDENCE_PENDING — Encoder hidden-state import is covered, but the pinned real artifact lacks independent provenance and full hidden-state parity evidence.
talkie	—	model=talkie; tensor=talkie	not claimed	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — The exact pinned scalar-sidecar float graph is covered, including weight-free RMSNorm, inverse NeoX RoPE, post-RoPE Q/K normalization, per-head Q gain, embedding skip, causal KV cache, and logit scaling.
wavtokenizer-dec	—	none (fails before config extraction)	not claimed	config=deferred; tensor_map=deferred; graph=deferred; runtime=deferred; quantized_import=supported	CONFIG_DEFERRED — wavtokenizer-dec is a stateless non-causal code-token to ISTFT-parameter network, not a waveform codec decoder.
xverse	—	model=xverse; tensor=llama	audited-direct-loader-conditional-union	config=supported; tensor_map=supported; graph=supported; runtime=deferred; quantized_import=rejected	RUNTIME_EVIDENCE_PENDING / FLOAT_IMPORT_ONLY — Fused QKV input is rejected because it cannot be combined truthfully with the required architecture-specific Q/K row permutations.

Stored quantization types

The generated machine-readable source for this table is testdata/evidence/gguf_quantization_capabilities.json. It records parse and exact dequantization support separately from conversion, names the implementation transform and operator ABI for every tensor role, and treats dequantize/requantize as non-preserving.

Stored qtype	ID	Parse	Exact dequantization	Projection/output route	Direct exactness	Embedding route	Expert-major route	Target storage	Source fidelity	Native operator ABI	Runtime evidence
Q4_0	2	supported	supported	affine repack	exact	affine repack	affine repack	quantized target supported	true	—	deferred: No real-weight ONNX Runtime execution evidence is recorded.
Q4_1	3	supported	supported	affine repack	lossy	affine repack	affine repack	quantized target supported	false	—	deferred: No real-weight ONNX Runtime execution evidence is recorded.
Q5_0	6	supported	supported	dequantize/requantize	—	dequantize/requantize	dequantize/requantize	quantized target supported	false	—	deferred: No real-weight ONNX Runtime execution evidence is recorded.
Q5_1	7	supported	supported	dequantize/requantize	—	dequantize/requantize	dequantize/requantize	quantized target supported	false	—	deferred: No real-weight ONNX Runtime execution evidence is recorded.
Q8_0	8	supported	supported	affine repack	exact	affine repack	affine repack	quantized target supported	true	—	qwen2.5-0.5b-instruct-q8-ort-genai-0.15.2
Q2_K	10	supported	supported	dequantize/requantize	—	dequantize/requantize	dequantize/requantize	quantized target supported	false	—	deferred: No real-weight ONNX Runtime execution evidence is recorded.
Q3_K	11	supported	supported	dequantize/requantize	—	dequantize/requantize	dequantize/requantize	quantized target supported	false	—	deferred: No real-weight ONNX Runtime execution evidence is recorded.
Q4_K	12	supported	supported	affine repack	lossy	affine repack	affine repack	quantized target supported	false	—	deferred: No real-weight ONNX Runtime execution evidence is recorded.
Q5_K	13	supported	supported	dequantize/requantize	—	dequantize/requantize	dequantize/requantize	quantized target supported	false	—	deferred: No real-weight ONNX Runtime execution evidence is recorded.
Q6_K	14	supported	supported	affine repack	lossy	affine repack	affine repack	quantized target supported	false	—	deferred: No real-weight ONNX Runtime execution evidence is recorded.
IQ2_XXS	16	supported	supported	native byte-preserved	—	dequantize/requantize	native byte-preserved	quantized target supported	true	pkg.nxrt::BlockQuantizedMatMul/v1 (iq2_xxs)	deferred: No real-weight ONNX Runtime execution evidence is recorded.
IQ2_XS	17	supported	supported	native byte-preserved	—	dequantize/requantize	native byte-preserved	quantized target supported	true	pkg.nxrt::BlockQuantizedMatMul/v1 (iq2_xs)	deferred: No real-weight ONNX Runtime execution evidence is recorded.
IQ3_XXS	18	supported	supported	native byte-preserved	—	dequantize/requantize	native byte-preserved	quantized target supported	true	pkg.nxrt::BlockQuantizedMatMul/v1 (iq3_xxs)	deferred: No real-weight ONNX Runtime execution evidence is recorded.
IQ1_S	19	supported	supported	native byte-preserved	—	dequantize/requantize	native byte-preserved	quantized target supported	true	pkg.nxrt::BlockQuantizedMatMul/v1 (iq1_s)	deferred: No real-weight ONNX Runtime execution evidence is recorded.
IQ4_NL	20	supported	supported	native byte-preserved	—	dequantize/requantize	native byte-preserved	quantized target supported	true	pkg.nxrt::BlockQuantizedMatMul/v1 (iq4_nl)	deferred: No real-weight ONNX Runtime execution evidence is recorded.
IQ3_S	21	supported	supported	native byte-preserved	—	dequantize/requantize	native byte-preserved	quantized target supported	true	pkg.nxrt::BlockQuantizedMatMul/v1 (iq3_s)	deferred: No real-weight ONNX Runtime execution evidence is recorded.
IQ2_S	22	supported	supported	native byte-preserved	—	dequantize/requantize	native byte-preserved	quantized target supported	true	pkg.nxrt::BlockQuantizedMatMul/v1 (iq2_s)	deferred: No real-weight ONNX Runtime execution evidence is recorded.
IQ4_XS	23	supported	supported	native byte-preserved	—	dequantize/requantize	native byte-preserved	quantized target supported	true	pkg.nxrt::BlockQuantizedMatMul/v1 (iq4_xs)	deferred: No real-weight ONNX Runtime execution evidence is recorded.
IQ1_M	29	supported	supported	native byte-preserved	—	dequantize/requantize	native byte-preserved	quantized target supported	true	pkg.nxrt::BlockQuantizedMatMul/v1 (iq1_m)	deferred: No real-weight ONNX Runtime execution evidence is recorded.
TQ1_0	34	supported	supported	dequantize/requantize	—	dequantize/requantize	dequantize/requantize	quantized target supported	false	—	deferred: No real-weight ONNX Runtime execution evidence is recorded.
TQ2_0	35	supported	supported	dequantize/requantize	—	dequantize/requantize	dequantize/requantize	quantized target supported	false	—	deferred: No real-weight ONNX Runtime execution evidence is recorded.
MXFP4	39	supported	supported	native byte-preserved	—	dequantize/requantize	native byte-preserved	quantized target supported	true	pkg.nxrt::BlockQuantizedMatMul/v1 (mxfp4)	deferred: No real-weight ONNX Runtime execution evidence is recorded.
NVFP4	40	supported	supported	dequantize/requantize	—	dequantize/requantize	dequantize/requantize	quantized target supported	false	—	deferred: No real-weight ONNX Runtime execution evidence is recorded.
Q1_0	41	supported	deferred	affine repack	exact	affine repack	affine repack	quantized target supported	true	—	deferred: No real-weight ONNX Runtime execution evidence is recorded.
Q2_0	42	supported	deferred	rejected	—	rejected	rejected	rejected	false	—	deferred: No real-weight ONNX Runtime execution evidence is recorded.

Multimodal projector sidecars

Artifact ID	Immutable sidecar	Bytes	SHA-256	Projector types	Paired text	Processor source
gemma3n-e4b-f16	Qwe1325/gemma-3n-E4B-it-GGUF@f26cfdb3f7e86ede704fc45410316e48ccb1a018 mmproj-F16.gguf	1,967,809,568	a464216b97121e8065216569fc501880cc456ef859e41234235106b7348e0279	gemma3nv, gemma3na	Qwe1325/gemma-3n-E4B-it-GGUF@f26cfdb3f7e86ede704fc45410316e48ccb1a018 gemma-3n-E4B-it-q3_k_m.gguf 3,442,332,096 bytes	unsloth/gemma-3n-E4B-it@45e9fb1dd0e34db5ff9db1f43a49ac5d8e8b8778
gemma4-unified-12b-f16	unsloth/gemma-4-12b-it-GGUF@fc034cfff751157913579611efad8462ac1be606 mmproj-F16.gguf	175,115,840	91f086971e56d7a7d8d39e271873fccdb49541bd259d6e02c401a4f1cb7a219e	gemma4uv, gemma4ua	unsloth/gemma-4-12b-it-GGUF@fc034cfff751157913579611efad8462ac1be606 gemma-4-12b-it-Q4_K_M.gguf 7,121,861,440 bytes	google/gemma-4-12B-it@707f0a3b8a3c7ad586ed01e27eafbad8a27dd0f7
smolvlm-256m-idefics3-f16	ggml-org/SmolVLM-256M-Instruct-GGUF@b9e4379657e1450d04d02eec8e345667265b0a00 mmproj-SmolVLM-256M-Instruct-f16.gguf	190,031,616	0802360aca1748f112ea510b8ff277c65b1361c8ef30ed89b83c9c7a60d08e96	idefics3	ggml-org/SmolVLM-256M-Instruct-GGUF@b9e4379657e1450d04d02eec8e345667265b0a00 SmolVLM-256M-Instruct-f16.gguf 327,809,728 bytes	HuggingFaceTB/SmolVLM-256M-Instruct@7e3e67edbbed1bf9888184d9df282b700a323964
internvl25-1b-f16	ggml-org/InternVL2_5-1B-GGUF@d77253530c9a27486a28800afaf6ff5576c0bf17 mmproj-InternVL2_5-1B-f16.gguf	619,876,960	0c672edd99ec0b99df01c75dbb6cc26ad2236d7d61f908c93b5fda9b4d9ddd20	internvl	ggml-org/InternVL2_5-1B-GGUF@d77253530c9a27486a28800afaf6ff5576c0bf17 InternVL2_5-1B-f16.gguf 1,265,481,408 bytes	OpenGVLab/InternVL2_5-1B@9d423ea1ae9f893897ee3f7493141073f5afcf22
llama4-scout-f16	ggml-org/Llama-4-Scout-17B-16E-Instruct-GGUF@42675345da11ade9203a5187595da7b74d4ff2ac mmproj-Llama-4-Scout-17B-16E-Instruct-f16.gguf	1,746,780,608	a7eec12068ae70f993fbba6eb350c095727be20f7a6ecbe6e431940c1a8823fb	llama4	complete Llama4 Scout text GGUF exceeds 16 GiB	meta-llama/Llama-4-Scout-17B-16E-Instruct@92f3b1597a195b523d8d9e5700e57e4fbb8f20d3
pixtral-12b-f16	ggml-org/pixtral-12b-GGUF@cba1ea4420bc2b4f15f50fdec59e30769880a63c mmproj-pixtral-12b-f16.gguf	870,070,176	b4819558d6524a2e5623a06104ee085253a6dfd2b51470c60771ec33976f81bb	pixtral	ggml-org/pixtral-12b-GGUF@cba1ea4420bc2b4f15f50fdec59e30769880a63c pixtral-12b-Q2_K.gguf 4,791,047,808 bytes	mistral-experimental/pixtral-12b@c2756cbbb9422eba9f6c5c439a214b0392dfc998
llava-llama3-8b-mlp-f16	xtuner/llava-llama-3-8b-v1_1-gguf@344f1bfe987bcbdc7e650b134d23670d5ffb5892 llava-llama-3-8b-v1_1-mmproj-f16.gguf	624,434,368	eb569aba7d65cf3da1d0369610eb6869f4a53ee369992a804d5810a80e9fa035	mlp	bartowski/Meta-Llama-3-8B-Instruct-GGUF@4ebc4aa83d60a5d6f9e1e1e9272a4d6306d770c1 Meta-Llama-3-8B-Instruct-Q2_K.gguf 3,179,131,456 bytes	xtuner/llava-llama-3-8b-v1_1-transformers@b20fb3040caaf5d0b3751c0d86a94efdf5bb007d
mobilevlm-1.7b-ldp-f16	guinmoon/MobileVLM-1.7B-GGUF@7e0cdbd2d642d938ce82fadde991360500c7d7cf MobileVLM-1.7B-mmproj-f16.gguf	620,384,896	7d9855d323cee2a1797a88f9d7057ce26b21dcd62a50b382c4ff44ea60c77e39	ldp	guinmoon/MobileVLM-1.7B-GGUF@7e0cdbd2d642d938ce82fadde991360500c7d7cf MobileVLM-1.7B-Q4_K.gguf 834,055,776 bytes	—
mobilevlm-v2-1.7b-ldpv2-f16	ZiangWu/MobileVLM_V2-1.7B-GGUF@422c888cc387d71831bedf48d59f0a66b27fad68 mmproj-model-f16.gguf	595,103,072	57966afa654e9d46a11b2a4b17989c2d487cd961f702c4fe310f86db5e30aab4	ldpv2	ZiangWu/MobileVLM_V2-1.7B-GGUF@422c888cc387d71831bedf48d59f0a66b27fad68 ggml-model-q4_k.gguf 791,817,856 bytes	—
glm-edge-v-2b-adapter-f16	zai-org/glm-edge-v-2b-gguf@d76cbe14f1d3a9405f664cbb5ae0c9537197429a mmproj-model-f16.gguf	933,229,600	69a11ec5f54219fef9fd6bf9bc3209f0e6ef1564462cc4705dd93b2cd2a8198c	adapter	zai-org/glm-edge-v-2b-gguf@d76cbe14f1d3a9405f664cbb5ae0c9537197429a ggml-model-Q4_0.gguf 931,269,056 bytes	THUDM/glm-edge-v-2b@2053707733f99ab52e943904f43c2359a94301ef
minicpm-v2-resampler-f16	openbmb/MiniCPM-V-2-gguf@3a38804c39d96c935a6b542581f51171aefa06a5 mmproj-model-f16.gguf	866,071,872	79611c59b5ad5b0547256602e3fb546a3041bcf6db5058091b6bcaa31f3a1c95	resampler	openbmb/MiniCPM-V-2-gguf@3a38804c39d96c935a6b542581f51171aefa06a5 ggml-model-Q2_K.gguf 1,297,193,376 bytes	—
qwen2-vl-2b-f16	ggml-org/Qwen2-VL-2B-Instruct-GGUF@bb307c036e8a1ed7b663bbd0c35b41c4c9294cfd mmproj-Qwen2-VL-2B-Instruct-f16.gguf	1,331,656,160	ecb20cabcdd8dbc277de06bd6eb980aeb2adfaaba9f199a434e328d205675d03	qwen2vl_merger	Qwen2-VL-2B-Instruct-Q4_K_M.gguf	Qwen/Qwen2-VL-2B-Instruct@895c3a49bc3fa70a340399125c650a463535e71c
qwen25-vl-3b-f16	ggml-org/Qwen2.5-VL-3B-Instruct-GGUF@5037fcf163dd95d1e41d1974465f0898ed108ca2 mmproj-Qwen2.5-VL-3B-Instruct-f16.gguf	1,338,428,128	b9160fe9d814d1fadf68395677468534778b39ac33c2e7561b7b218626e60d5e	qwen2.5vl_merger	Qwen2.5-VL-3B-Instruct-Q4_K_M.gguf	Qwen/Qwen2.5-VL-3B-Instruct@66285546d2b821cf421d4f5eb2576359d3770cd3
gemma3-4b-f16	ggml-org/gemma-3-4b-it-GGUF@ab31416aceb30cd095cb34cc27eea120940964e4 mmproj-model-f16.gguf	851,251,104	8c0fb064b019a6972856aaae2c7e4792858af3ca4561be2dbf649123ba6c40cb	gemma3	gemma-3-4b-it-Q4_K_M.gguf	google/gemma-3-4b-it@093f9f388b31de276ce2de164bdc2081324b9767
gemma4-e2b-f16	unsloth/gemma-4-E2B-it-GGUF@0314792d7f1f7e229411f620751375812bb9faf2 mmproj-F16.gguf	985,654,080	337ee849e80b6169ce9d1d573d424fc1653bcafa5f0cb0cbb901beba54f4b41c	gemma4v, gemma4a	unsloth/gemma-4-E2B-it-GGUF@0314792d7f1f7e229411f620751375812bb9faf2 gemma-4-E2B-it-Q4_K_M.gguf 3,106,738,272 bytes	google/gemma-4-E2B-it@3e22461f65e89153144f8adb70e3b8c2cc9845a7
muse-glimmer-30b-bf16	unsloth/Muse-Glimmer-30B-GGUF@faa5b025c584459c13febfa5c59883516710ae39 mmproj-Muse-Glimmer-30B-BF16.gguf	3,849,173,728	7aa788cfe25ae5e4bf4837511f64df22cabe595e58223708274a67b3136f53ab	muse-glimmer	Muse-Glimmer-30B-UD-Q4_K_XL.gguf	—
qwen3-vl-projector-f16	bartowski/Qwen_Qwen3-VL-2B-Instruct-GGUF@e84f8ae7ffee8b04793a4ed771609e2b61d3f3cf mmproj-Qwen_Qwen3-VL-2B-Instruct-f16.gguf	819,394,848	8c3f6a56979a1ce7056b9a20be6cf6b6f6ad4837aa3da532b5afcfcfd1faa38b	qwen3vl_merger	Qwen_Qwen3-VL-2B-Instruct-Q4_K_M.gguf	Qwen/Qwen3-VL-2B-Instruct@89644892e4d85e24eaac8bacfd4f463576704203
qwen3-audio-projector-bf16	ggml-org/Qwen3-ASR-0.6B-GGUF@928ab958557df9aa2ef1c93e0e83c7ad0933fae2 mmproj-Qwen3-ASR-0.6B-bf16.gguf	378,575,520	dae36c855f9a82a8916bea2238b24bda69a39d8da8b2f46dee7c103775656039	qwen3a	Qwen3-ASR-0.6B-bf16.gguf	Qwen/Qwen3-ASR-0.6B@5eb144179a02acc5e5ba31e748d22b0cf3e303b0
qwen2-audio-projector-f16	mradermacher/Qwen2-Audio-7B-Instruct-GGUF@e1e68850ba33e38eafbc3817919c318d9c7e757b Qwen2-Audio-7B-Instruct.mmproj-f16.gguf	1,289,301,536	b52435dead2956f1fc113818c3b5ceb42a940cb487e59163cb1ffc69cae69347	qwen2a	Qwen2-Audio-7B-Instruct.Q4_K_M.gguf	Qwen/Qwen2-Audio-7B-Instruct@0a095220c30b7b31434169c3086508ef3ea5bf0a
qwen25-omni-projector-f16	ggml-org/Qwen2.5-Omni-3B-GGUF@75f1b73b657a50f5092502799457ccb4a4a1f9df mmproj-Qwen2.5-Omni-3B-f16.gguf	2,623,983,328	f6d9276e9fa4f060c7abdbe886786cf31a8911b62770f8a54b7581b7b99fa27e	qwen2.5o, qwen2.5vl_merger, qwen2a	Qwen2.5-Omni-3B-Q4_K_M.gguf	Qwen/Qwen2.5-Omni-3B@f75b40e3da2003cdd6e1829b1f420ca70797c34e
glm4v-projector-f16	mradermacher/GLM-OCR-GGUF@3c1e642c0fa5df64831f0b04f3c674b57ce341af GLM-OCR.mmproj-f16.gguf	869,018,080	fe5805b3b70f3174d25a912b8d197569eaa8e1e3e6d9777a385b8cc4c622af6c	glm4v	GLM-OCR.Q4_K_M.gguf	zai-org/GLM-OCR@ca5d8b3e287e52589e37c28385d9655ee4372f9d
ultravox-v0.5-f16	ggml-org/ultravox-v0_5-llama-3_2-1b-GGUF@5390c7c41cbd6f261f7f205fc0c5ae61bbdca650 mmproj-ultravox-v0_5-llama-3_2-1b-f16.gguf	1,371,123,616	b34dde1835752949d6b960528269af93c92fec91c61ea0534fcc73f96c1ed8b2	ultravox	fixie-ai/ultravox-v0_5-llama-3_2-1b	fixie-ai/ultravox-v0_5-llama-3_2-1b@b95bec8ab291eeb04b5cd600dd473377f6b79026
music-flamingo-bf16	henry1477/music-flamingo-gguf@a059053433697011c6928b1962110040f4bcb4d0 mmproj-music-flamingo-bf16.gguf	1,324,506,912	d4be69ed65f25dae97062febd44f9f41c0f6b14178f1cfb530fd894d595a4f94	musicflamingo	nvidia/music-flamingo-hf	nvidia/music-flamingo-hf@35a2c9071753ee075b0f7fc2fd81151c21389530
lfm2.5-audio-1.5b-f16	LiquidAI/LFM2.5-Audio-1.5B-GGUF@7d525f883a077e20afb782f2ff618edcae0e39e4 mmproj-LFM2.5-Audio-1.5B-F16.gguf	458,806,624	71330d7820768417d950f2dce42227896c7f6146917453957a63ba765decf621	lfm2a	LiquidAI/LFM2.5-Audio-1.5B	LiquidAI/LFM2.5-Audio-1.5B@c362a0625dfe45aa588dce5f0ada28a7e5707628
granite-speech-4.1-2b-f16	ibm-granite/granite-speech-4.1-2b-GGUF@8267dad2adc84209b0efd2702ec68a98356125eb mmproj-model-f16.gguf	1,159,354,752	0d3615076cbe1d35c3f60c43a60a4047b3e2eeee1b2c233580be60186faab5c5	granite_speech	ibm-granite/granite-speech-4.1-2b	ibm-granite/granite-speech-4.1-2b@de575db64086f84fdc79da4932d1076e965bc546
cogvlm-chat-v1.1-f16-header	PandaExpressPatron/cogvlm-chat-gguf@8076a26b5563f170569805cf17e22401f5c790e8 mmproj-cogvlm-chat-hf first 16,777,216 B f06cb0cfd4974db17f9549e87178dbfba65146ecf2529b35c2badb09ed4909b6	8,858,987,936	aa2e53f40d8248738fc79f790227fde7f564bce870e496db89b5e90425fa1a4b	cogvlm	cogvlm-13B-chat-v1.1-F16.gguf	zai-org/cogvlm-chat-hf@e29dc3ba206d524bf8efbfc60d80fc4556ab0e3c
exaone4-5-33b-f16-header	LGAI-EXAONE/EXAONE-4.5-33B-GGUF@0e969634ef24db05151b435970297a6dee634b7e mmproj-EXAONE-4.5-33B-F16.gguf first 16,777,216 B 2aa263be72bbb57706da85fd14515b6e1c323028ee620d68aa8bb7f6d5d1a5f3	2,574,221,920	98d2ecab5b64edea00314150f276ac4de5816b980dbf591832efc344e0f6295a	exaone4_5	EXAONE-4.5-33B-IQ4_XS.gguf	LGAI-EXAONE/EXAONE-4.5-33B@570aa4b15a4f45ba1133072b45f50198f6e3b4fd
hunyuanocr-bf16-header	ggml-org/HunyuanOCR-GGUF@8e070c9ad79e4ca97a9b4daa2f1ce17e8759afb1 mmproj-HunyuanOCR-bf16.gguf first 16,777,216 B 15f375226c21c2f069f00abd9eddca211347c93f323bc09df50b859e6b88f086	997,235,840	46401739a91d0778d86369bb952db685b215512d61a941c3b859f337f6014fcd	hunyuanvl	HunyuanOCR-bf16.gguf	tencent/HunyuanOCR@b7bf72439f11fa076c547edf8777aa85f8e0a027
janus-pro-1b-f16-header	mradermacher/Janus-Pro-1B-GGUF@31ced8c1d0bd842eeb8f27730ba792b16e7cda91 Janus-Pro-1B.mmproj-f16.gguf first 16,777,216 B 039c75d5059a38bfa2274da7c8b1511c4a9d642c84e23cede104beac33f4d226	621,824,384	b1f441fa6ef80e9b058808e100afeb65f2a844736b8f4865791b59fad1453b1c	janus_pro	Janus-Pro-1B.Q8_0.gguf	deepseek-community/Janus-Pro-1B@1655280bb75959cc1cb85529a2a8b26e7016072e
kimi-k2-5-f16-header	AesSedai/Kimi-K2.5-GGUF@43ea7b530645c4f1d2616ec0d376d92b6e69cc9f mmproj-Kimi-K2.5-F16.gguf first 16,777,216 B 3e7c895e916044cadd5faa3b68ab6b023ec2d33ca98013d8d98efa71ec3a5ad2	952,572,160	9261f190d7b8561fc69f70d2bbbc533d5975704f19c6d2b08fa8ac6c133ec78c	kimik25	Kimi-K2.5 text GGUF split set	moonshotai/Kimi-K2.5@4d01dfe0332d63057c186e0b262165819efb6611
kimi-vl-a3b-f16-header	ggml-org/Kimi-VL-A3B-Thinking-2506-GGUF@e7dcd093335f922a057772febc7ab27eda985b40 mmproj-Kimi-VL-A3B-Thinking-2506-f16.gguf first 16,777,216 B fe078c1ecf7a1b00ebf3e040d54754b3fc32ef0500c75c53c5df29f199ff7289	905,371,712	1386854a5031970a92ec458ddcc2dfce575f28edf6463643e50ac2f008068fb3	kimivl	Kimi-VL-A3B-Thinking-2506-Q4_K_M.gguf	moonshotai/Kimi-VL-A3B-Thinking-2506@aa1730989e7558695b44ee493623e03bd325a994
lfm2-vl-1-6b-f16-header	LiquidAI/LFM2-VL-1.6B-GGUF@6121de267003bb4d4f325fe10abdc735aee06747 mmproj-LFM2-VL-1.6B-F16.gguf first 16,777,216 B 6744dec15d156b007be7a12adbd667a4442ee956f0fcbddbe53e5c195cf00149	830,339,008	b637bfa6060be2bc7503ec23ba48b407843d08c2ca83f52be206ea8563ccbae2	lfm2	LFM2-VL-1.6B-Q4_0.gguf	LiquidAI/LFM2.5-VL-1.6B@919fde3d022e3f90a4716006f993938ee8c2eb97
mimo-v2-5-f16-header	AesSedai/MiMo-V2.5-GGUF@eed9c5e5d55c5cf9fba5309e66ad5246ea3ffa13 mmproj-MiMo-V2.5-F16.gguf first 16,777,216 B 4e0adf899ed6ad0e485107ce6ecfd38e89da6e688b3006a2787ea3e912f64392	1,458,190,112	e1664b236f6fef3d3c64abb24d4441580cbe0df34333995afc1de8ef96ef5089	mimovl	MiMo-V2.5 text GGUF split set	XiaomiMiMo/MiMo-V2.5@63651580ca774f8504f676040460aed3e1244ac1
minicpm-v4-6-bf16-header	prithivMLmods/MiniCPM-V-4.6-GGUF@01a7c0ceb731b733bfe9dc3875dc08004f3596b4 MiniCPM-V-4.6.mmproj-bf16.gguf first 16,777,216 B 964d497bc9097b54837f410bd2b04c069256d1835e2a9a7efcfda082fa2aac60	1,110,101,888	7b6ffe05cfbc8afbeec7f1847c865c9b6ca1d78f5e128ff7136536b4a87b67e7	minicpmv4_6	MiniCPM-V-4.6.Q4_K_M.gguf	openbmb/MiniCPM-V-4.6@36f34a661a4bd35d0dc2294cb044d2584646c7d3
nemotron-nano-v2-vl-bf16-header	tomlawrence/NVIDIA-Nemotron-Nano-12B-v2-VL-GGUF@2b87641797d12e8a316ab509c7752887a6d2660a mmproj-BF16.gguf first 16,777,216 B 33c5e9f28a5d7499dd7fc72058df5ee9915a08dda68cf5dc991a3b1d37e8d9d4	1,689,151,936	10f5fdb09ae2e122af388b5905c4921e66d8f4cc8382f6d1152fcfe8b3fa229d	nemotron_v2_vl	NVIDIA-Nemotron-Nano-12B-v2-VL-Q4_0.gguf	nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL-BF16@ca9543b126e8bf3176916d3d305ccc415f89fd4d
step3-vl-10b-f16-header	JamePeng2023/Step3-VL-10B-GGUF@f0bc308167bb03e463e10ba8dfaa4879092d0e84 mmproj-Step3-VL-10b-F16.gguf first 16,777,216 B eb458306d565cd859d4e3db2cc802c1b92138d80b5b4bc9bb6233cf692648753	3,972,829,344	541f08bdb3f4799a31a7d37708ba7990fa173bdb14b233c1485076afe34a08a9	step3vl	Step3-VL-10B-Q3_K_M.gguf	stepfun-ai/Step3-VL-10B@5026053b0c2f5dfaa08fc2d149384162c3c8bca1
yasa2-reka-edge-f16-header	Vastined/reka-edge-2603-GGUF@e6a3fd4d8012aea11c7b0d54b3af020bd2e34366 mmproj-reka-edge-2603-F16.gguf first 16,777,216 B fef11ed9c78e6a7a3b79bcfe58678ddef6bfc7c29d3924351d9fdc5e96034ec5	1,376,166,016	2671b816c9dc63c075fb41615afb7881a7f5e3e7969c874767573ce5a6cd7bc8	yasa2	reka-edge-2603-Q4_K_M.gguf	RekaAI/reka-edge-2603@492c81c225fbf5f3263a8245b00827721b119a13
deepseek-ocr-bf16	sabafallah/DeepSeek-OCR-GGUF@d26779bcd1cb301fec3ff82adc672f18384776fc mmproj-deepseek-ocr-bf16.gguf	826,425,472	4caeed8b6c3c7d25dfebccfdb5cf34d6ae540ef4dc4fa2b9842b69cfa50ecbe2	deepseekocr	sabafallah/DeepSeek-OCR-GGUF@d26779bcd1cb301fec3ff82adc672f18384776fc deepseek-ocr-Q4_K_M.gguf 1,950,326,592 bytes	deepseek-ai/DeepSeek-OCR@9f30c71f441d010e5429c532364a86705536c53a
deepseek-ocr2-bf16	sabafallah/DeepSeek-OCR-2-GGUF@d08e5af400c64fa8a9b89b04ba373b600b02e05d mmproj-deepseek-ocr-2-bf16.gguf	929,037,632	b65e8460acc82dd4e8546206c5abd1abed9c5c582223731ce1585689d95f5cdb	deepseekocr2	sabafallah/DeepSeek-OCR-2-GGUF@d08e5af400c64fa8a9b89b04ba373b600b02e05d deepseek-ocr-2-Q4_K_M.gguf 1,950,326,688 bytes	deepseek-ai/DeepSeek-OCR-2@aaa02f3811945a91062062994c5c4a3f4c0af2b0
dots-ocr-f16	ggml-org/dots.ocr-GGUF@2c093a32ca360a396bc6d87d60408636130b9d9b mmproj-dots.ocr-f16.gguf	2,526,296,992	f462429dbf41729379df4252f84331c9646d80e53f092ccccfd2cb922a3b544e	dots_ocr	ggml-org/dots.ocr-GGUF@2c093a32ca360a396bc6d87d60408636130b9d9b dots.ocr-Q8_0.gguf 1,894,530,272 bytes	dots-studio/dots.ocr@c0111ce6bc07803dbc267932ffef0ae3a51dc951
dots3note-prev-f16	ggml-org/dots3-note-prev-GGUF@e5e7f6692337c0782c2bb4e2395174fd99879448 mmproj-dots3-note-prev-F16.gguf	15,546,328,640	5bfec6cc2e2fa8ffcc70fc89866345640a297e7046e0913fd4899a3ec06f5ace	dots3note_v, dots3note_a	ggml-org/dots3-note-prev-GGUF@e5e7f6692337c0782c2bb4e2395174fd99879448 IQ2_S/dots3-note-prev-IQ2_S-00001-of-00003.gguf 5,940,800 bytes	dots-studio/dots3-note-prev@1e1e7b0cd37a3a48a6c8d7fa55d5f9d14377006b
paddleocr-vl-1.6-bf16	PaddlePaddle/PaddleOCR-VL-1.6-GGUF@511b09642bb324401f15f97cc23bc67e8f0a291d PaddleOCR-VL-1.6-GGUF-mmproj.gguf	881,770,560	204d757d7610d9b3faab10d506d69e5b244e32bf765e2bab2d0167e65e0a058a	paddleocr	PaddlePaddle/PaddleOCR-VL-1.6-GGUF@511b09642bb324401f15f97cc23bc67e8f0a291d PaddleOCR-VL-1.6-GGUF.gguf 935,769,056 bytes	PaddlePaddle/PaddleOCR-VL-1.6@c5630abae1d940eafe0697512a0325494b02ab42
lightonocr-1b-1025-f16	noctrex/LightOnOCR-1B-1025-GGUF@fe9d27bebcd975de319b2129a700791e6c9e00ae mmproj-F16.gguf	819,312,608	af55bc472ee9b5c409b4545033b5d1810b2a9cd799d53922ad93e5069542cd72	lightonocr	noctrex/LightOnOCR-1B-1025-GGUF@fe9d27bebcd975de319b2129a700791e6c9e00ae LightOnOCR-1B-1025-Q4_K_S.gguf 470,781,536 bytes	lightonai/LightOnOCR-1B-1025@7e3e7b0cb83e237e7d237af5a583a002ea632547
youtu-vl-4b-bf16	tencent/Youtu-VL-4B-Instruct-GGUF@1b7e295135d85a169d93823aa4215faf2c427092 mmproj-Youtu-VL-4b-Instruct-BF16.gguf	893,397,344	1bcb2b7a99687be9a47e9bf27ee96237b73fe94b6fda938b17b18e7d4f92f9f2	youtuvl	tencent/Youtu-VL-4B-Instruct-GGUF@1b7e295135d85a169d93823aa4215faf2c427092 Youtu-VL-4B-Instruct-Q8_0.gguf 5,211,323,488 bytes	tencent/Youtu-VL-4B-Instruct@8d30a0e49662a1d628a472b12df264dbcd768753
granite4-vision-4.1-f16	ibm-granite/granite-vision-4.1-4b-GGUF@b1fa14294b0f5cac04c43076d1c4574091abf117 mmproj-model-f16.gguf	1,162,347,936	573dd2579f6043649299f0b2225000a5691d92f320aabe909fb4c6e75450cad2	granite4_vision	ibm-granite/granite-vision-4.1-4b-GGUF@b1fa14294b0f5cac04c43076d1c4574091abf117 granite-vision-4.1-4b-Q4_K_M.gguf 2,099,510,240 bytes	ibm-granite/granite-vision-4.1-4b@37d591f06319e8f1638b5adcf58bdf50e0f84f7a

The five generic projector evidence pairs total 10,672,691,328 bytes (sidecars plus paired text GGUFs), below the 16 GiB evidence budget. Runtime remains deferred; four routes have independent nonzero-weight graph parity, while MiniCPM resampler remains component-only and graph-deferred.

Pinned source proofs cover graph semantics that cannot be inferred from tensor names, including conversion-time permutations, co-resident modality roles, and processor boundaries.

Evidence ID	Immutable sources	Finding
glma-converter-checkpoint-drift	ggml-org/llama.cpp@86632248188c106d749fad34a1dcd237c95863d4 tools/mtmd/models/whisper-enc.cpp ggml-org/llama.cpp@86632248188c106d749fad34a1dcd237c95863d4 conversion/ultravox.py zai-org/GLM-ASR-Nano-2512@61ba4e0b3309b6656edea3e93e419f7bd5c61957 config.json	llama.cpp defines the legacy additive-position GLMA graph, but its converter registers GlmasrModel and requires a top-level merge_factor. The immutable current checkpoint declares GlmAsrForConditionalGeneration, omits merge_factor, and configures a partial-RoPE encoder. Mobius can import a structurally valid legacy sidecar without claiming that this checkpoint can produce one.
qwen3tts-speaker-runtime-boundary	ggml-org/llama.cpp@86632248188c106d749fad34a1dcd237c95863d4 tools/mtmd/models/qwen3tts-spkenc.cpp ggml-org/llama.cpp@86632248188c106d749fad34a1dcd237c95863d4 conversion/qwen3tts.py ggml-org/llama.cpp@86632248188c106d749fad34a1dcd237c95863d4 tools/mtmd/mtmd-helper-gen.cpp	The speaker graph deterministically emits one text-width ECAPA embedding. The downstream helper adds it to the tts_pad embedding inside a hand-built four-section MRoPE prompt, while the converter co-emits a separate stateful qwen3tts_gen namespace. Mobius exports only the exact speaker_encoder role and makes no generated-audio runtime claim.
cogvlm-pinned-graph-source	ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 tools/mtmd/models/cogvlm.cpp ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 conversion/cogvlm.py zai-org/cogvlm-chat-hf@e29dc3ba206d524bf8efbfc60d80fc4556ab0e3c config.json	Dedicated fused-QKV CLIP tower, gated projector, and BOI/EOI rows.
exaone4-5-pinned-graph-source	ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 tools/mtmd/models/exaone4_5.cpp ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 conversion/exaone.py LGAI-EXAONE/EXAONE-4.5-33B@570aa4b15a4f45ba1133072b45f50198f6e3b4fd config.json	Qwen-style vision tower with GQA and exact windowed spatial merger.
hunyuanvl-pinned-graph-source	ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 tools/mtmd/models/hunyuanvl.cpp ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 conversion/hunyuan.py tencent/HunyuanOCR@b7bf72439f11fa076c547edf8777aa85f8e0a027 config.json	Dynamic ViT, convolutional perceiver, row-newline, and boundary topology.
janus-pro-pinned-graph-source	ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 tools/mtmd/models/siglip.cpp ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 conversion/januspro.py deepseek-community/Janus-Pro-1B@1655280bb75959cc1cb85529a2a8b26e7016072e config.json	Fixed SigLIP tower followed by a two-layer exact-GELU aligner.
kimik25-pinned-graph-source	ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 tools/mtmd/models/kimik25.cpp ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 conversion/kimivl.py moonshotai/Kimi-K2.5@4d01dfe0332d63057c186e0b262165819efb6611 config.json	Bicubic 3D learned positions, converted 2D RoPE, merge, norm, and MLP.
kimivl-pinned-graph-source	ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 tools/mtmd/models/kimivl.cpp ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 conversion/kimivl.py moonshotai/Kimi-VL-A3B-Thinking-2506@aa1730989e7558695b44ee493623e03bd325a994 config.json	Learned 2D RoPE ViT followed by patch merge, LayerNorm, and GELU MLP.
lfm2-pinned-graph-source	ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 tools/mtmd/models/siglip.cpp LiquidAI/LFM2.5-VL-1.6B@919fde3d022e3f90a4716006f993938ee8c2eb97 config.json	Dynamic SigLIP positions, 2x2 pixel unshuffle, LayerNorm, and GELU MLP.
meralion-pinned-graph-source	ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 tools/mtmd/models/whisper-enc.cpp ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 conversion/ultravox.py MERaLiON/MERaLiON-2-3B@a03e40e9ae4f45fb3d575ed7f67bd9fd5304920d modeling_meralion2.py	Whisper encoder, stack-15, stacked LayerNorm, and four-linear gated adapter.
mimovl-pinned-graph-source	ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 tools/mtmd/models/mimovl.cpp XiaomiMiMo/MiMo-V2.5@63651580ca774f8504f676040460aed3e1244ac1 config.json	GQA vision tower with row/column windows, sinks, and F32 down projection.
minicpmv4-6-pinned-graph-source	ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 tools/mtmd/models/minicpmv.cpp openbmb/MiniCPM-V-4.6@36f34a661a4bd35d0dc2294cb044d2584646c7d3 config.json	Bucketed positions, inserted local-attention merger, and final merger.
minimax-m3-pinned-graph-source	ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 tools/mtmd/models/minimax-m3.cpp ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 conversion/minimax.py MiniMaxAI/MiniMax-M3@f0e1c1e04d40177e4673a22097036854f536e9c0 config.json	Partial two-axis RoPE ViT with two distinct spatial MLP mergers.
nemotron-v2-vl-pinned-graph-source	ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 tools/mtmd/models/nemotron-v2-vl.cpp ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 conversion/nemotron.py nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL-BF16@ca9543b126e8bf3176916d3d305ccc415f89fd4d config.json	RADIO registers, fixed positions, patch merge, RMSNorm, and ReLU-squared MLP.
step3vl-pinned-graph-source	ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 tools/mtmd/models/step3vl.cpp ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 conversion/step3.py stepfun-ai/Step3-VL-10B@5026053b0c2f5dfaa08fc2d149384162c3c8bca1 config.json	Absolute plus axial positions and two convolutional downsamplers.
yasa2-pinned-graph-source	ggml-org/llama.cpp@8d9af256337d1a501250f9bbf4c0859a654bddd6 tools/mtmd/models/yasa2.cpp RekaAI/reka-edge-2603@492c81c225fbf5f3263a8245b00827721b119a13 convert_reka_vlm_to_gguf.py RekaAI/reka-edge-2603@492c81c225fbf5f3263a8245b00827721b119a13 config.json	ConvNeXtV2, pre-pool positions, fixed 8x8 pooling, and GELU MLP.

These additional immutable files prove artifact availability only. Their routes remain governed by the capability matrix until tensor mapping and component parity are established.

Candidate route	Immutable available sidecar	Bytes	SHA-256
lfm2	LiquidAI/LFM2-VL-1.6B-GGUF@6121de267003bb4d4f325fe10abdc735aee06747 mmproj-LFM2-VL-1.6B-F16.gguf	830,339,008	b637bfa6060be2bc7503ec23ba48b407843d08c2ca83f52be206ea8563ccbae2
lfm2	LiquidAI/LFM2-VL-1.6B-GGUF@6121de267003bb4d4f325fe10abdc735aee06747 mmproj-LFM2-VL-1.6B-Q8_0.gguf	564,115,648	65ec437db88d65fff93f472d00c145e09880769ac67fedff5cd1c0f8d8301d87
pixtral	ggml-org/pixtral-12b-GGUF@cba1ea4420bc2b4f15f50fdec59e30769880a63c mmproj-pixtral-12b-Q8_0.gguf	463,091,616	5504fe00067629053e6f99abac05f628c653a50394f4929bcc185bc80a10daf4

Projector string	Modality	Graph role / route	Paired text architecture	Metadata/tensor/graph/runtime	Exactness/evidence
adapter	vision	vision_encoder via generic_projector	chatglm	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=glm-edge-v-2b-adapter-f16
cogvlm	vision	vision_encoder via remaining_vision_projector	cogvlm	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=cogvlm-chat-v1.1-f16-header; source evidence=cogvlm-pinned-graph-source
deepseekocr	vision	vision_encoder via ocr_projector	deepseek2-ocr	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=deepseek-ocr-bf16
deepseekocr2	vision	vision_encoder via ocr_projector	deepseek2-ocr	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=deepseek-ocr2-bf16
dots3note_a	audio	vision_encoder, audio_encoder via ocr_projector	dots3note	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=dots3note-prev-f16
dots3note_v	vision	vision_encoder, audio_encoder via ocr_projector	dots3note	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=dots3note-prev-f16
dots_ocr	vision	vision_encoder via ocr_projector	qwen2	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=dots-ocr-f16
exaone4_5	vision	vision_encoder via remaining_vision_projector	exaone4	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=exaone4-5-33b-f16-header; source evidence=exaone4-5-pinned-graph-source
gemma3	vision	vision_encoder via gemma3	gemma3	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=gemma3-4b-f16
gemma3na	audio	audio_encoder via core_vlm_projector	gemma3n	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=gemma3n-e4b-f16
gemma3nv	vision	vision_encoder via core_vlm_projector	gemma3n	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=gemma3n-e4b-f16
gemma4a	audio	audio_encoder via core_vlm_projector	gemma4	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=gemma4-e2b-f16
gemma4ua	audio	audio_encoder via core_vlm_projector	gemma4	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=gemma4-unified-12b-f16
gemma4uv	vision	vision_encoder via core_vlm_projector	gemma4	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=gemma4-unified-12b-f16
gemma4v	vision	vision_encoder via gemma4	gemma4	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=gemma4-e2b-f16
glm4v	vision	vision_encoder via qwen_glm_projector	glm4, glm4moe	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=glm4v-projector-f16
glma	audio	audio_encoder via qwen_glm_projector	llama	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	source evidence=glma-converter-checkpoint-drift
granite4_vision	vision	vision_encoder via ocr_projector	granite	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=granite4-vision-4.1-f16
granite_speech	audio	audio_encoder via audio_projector	granite	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=granite-speech-4.1-2b-f16
hunyuanvl	vision	vision_encoder via remaining_vision_projector	hunyuan_vl	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=hunyuanocr-bf16-header; source evidence=hunyuanvl-pinned-graph-source
idefics3	vision	vision_encoder via core_vlm_projector	llama	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=smolvlm-256m-idefics3-f16
internvl	vision	vision_encoder via core_vlm_projector	qwen2	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=internvl25-1b-f16
janus_pro	vision	vision_encoder via remaining_vision_projector	llama	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=janus-pro-1b-f16-header; source evidence=janus-pro-pinned-graph-source
kimik25	vision	vision_encoder via remaining_vision_projector	deepseek2	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=kimi-k2-5-f16-header; source evidence=kimik25-pinned-graph-source
kimivl	vision	vision_encoder via remaining_vision_projector	deepseek2	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=kimi-vl-a3b-f16-header; source evidence=kimivl-pinned-graph-source
ldp	vision	vision_encoder via generic_projector	llama	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=mobilevlm-1.7b-ldp-f16
ldpv2	vision	vision_encoder via generic_projector	llama	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=mobilevlm-v2-1.7b-ldpv2-f16
lfm2	vision	vision_encoder via remaining_vision_projector	lfm2	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=lfm2-vl-1-6b-f16-header; source evidence=lfm2-pinned-graph-source
lfm2a	audio	audio_encoder via audio_projector	lfm2	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=lfm2.5-audio-1.5b-f16
lightonocr	vision	vision_encoder via ocr_projector	qwen3	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=lightonocr-1b-1025-f16
llama4	vision	vision_encoder via core_vlm_projector	llama4	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=llama4-scout-f16
meralion	audio	audio_encoder via audio_projector	gemma2	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	source evidence=meralion-pinned-graph-source
mimo_audio	audio	audio_encoder via audio_projector	mimo2	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	source evidence=mimo-v2.5-audio-source
mimovl	vision	vision_encoder via remaining_vision_projector	mimo2	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=mimo-v2-5-f16-header; source evidence=mimovl-pinned-graph-source
minicpmv4_6	vision	vision_encoder via remaining_vision_projector	qwen35	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=minicpm-v4-6-bf16-header; source evidence=minicpmv4-6-pinned-graph-source
minimax_m3	vision	vision_encoder via remaining_vision_projector	minimax-m3	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	source evidence=minimax-m3-pinned-graph-source
mlp	vision	vision_encoder via generic_projector	llama	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=llava-llama3-8b-mlp-f16
muse-glimmer	vision	vision_encoder via muse_glimmer	muse-glimmer	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=muse-glimmer-30b-bf16
musicflamingo	audio	audio_encoder via audio_projector	qwen2	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=music-flamingo-bf16
nemotron_v2_vl	vision	vision_encoder via remaining_vision_projector	nemotron_h	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=nemotron-nano-v2-vl-bf16-header; source evidence=nemotron-v2-vl-pinned-graph-source
paddleocr	vision	vision_encoder via ocr_projector	paddleocr	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=paddleocr-vl-1.6-bf16
parakeet	audio	audio_encoder via audio_projector	nemotron_h	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	source evidence=nemotron-v2-parakeet-source
phi4	vision	—	—	metadata=deferred; tensor_map=deferred; graph=deferred; runtime=deferred	CONFIG_DEFERRED — Exact configuration ownership is not implemented.
pixtral	vision	vision_encoder via core_vlm_projector	llama	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=pixtral-12b-f16
pockettts_gen	gen.audio	—	—	metadata=rejected; tensor_map=rejected; graph=rejected; runtime=rejected	CONFIG_REJECTED — The serialized architecture contract is deliberately refused.
pockettts_spkenc	audio	speaker_encoder via audio_projector	pockettts	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	source evidence=pockettts-speaker-source
qwen2.5o	audio, vision	vision_encoder, audio_encoder via qwen_glm_projector	qwen2vl	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=qwen25-omni-projector-f16
qwen2.5vl_merger	vision	vision_encoder via qwen_vl	qwen2vl	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=qwen25-vl-3b-f16
qwen2a	audio	audio_encoder via qwen_glm_projector	qwen2	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=qwen2-audio-projector-f16
qwen2vl_merger	vision	vision_encoder via qwen_vl	qwen2vl	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=qwen2-vl-2b-f16
qwen3a	audio	audio_encoder via qwen_glm_projector	qwen3vl, qwen3vlmoe	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=qwen3-audio-projector-bf16
qwen3tts_gen	gen.audio	—	—	metadata=rejected; tensor_map=rejected; graph=rejected; runtime=rejected	CONFIG_REJECTED — The serialized architecture contract is deliberately refused.
qwen3tts_spkenc	audio	speaker_encoder via qwen_glm_projector	qwen3tts	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	source evidence=qwen3tts-speaker-runtime-boundary
qwen3vl_merger	vision	vision_encoder via qwen_glm_projector	qwen35, qwen35moe, qwen3vl, qwen3vlmoe	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=qwen3-vl-projector-f16
resampler	vision	vision_encoder via generic_projector	minicpm	metadata=supported; tensor_map=supported; graph=deferred; runtime=deferred	artifact pins=minicpm-v2-resampler-f16
step3vl	vision	vision_encoder via remaining_vision_projector	qwen3	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=step3-vl-10b-f16-header; source evidence=step3vl-pinned-graph-source
ultravox	audio	audio_encoder via audio_projector	llama	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=ultravox-v0.5-f16
voxtral	audio	audio_encoder via audio_projector	llama	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	source evidence=voxtral-mini-3b-source-and-q8-availability
yasa2	vision	vision_encoder via remaining_vision_projector	llama	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=yasa2-reka-edge-f16-header; source evidence=yasa2-pinned-graph-source
youtuvl	vision	vision_encoder via ocr_projector	deepseek2	metadata=supported; tensor_map=supported; graph=supported; runtime=deferred	artifact pins=youtu-vl-4b-bf16

Tokenizer pre-types

The pre-type is never sufficient evidence by itself. The generated census preserves all aliases and gives every route an exact evidence ID or concrete compiled-semantics blocker.

Exact identifier	Semantic group / pre-type	Default policy	Current status	Evidence / blocker
a.x-4.0	gpt-2 / GPT2	deferred	validated-pinned-source	gpt2-q4-tokenizer; llama-vocab.cpp:L2194
afmoe	afmoe / AFMOE	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
bailingmoe	bailingmoe / BAILINGMOE	deferred	deferred-pinned-artifact-mismatch	pinned-candidate-source-semantic-mismatch (llada-moe-iq1-s-tokenizer-semantic-blocker); mradermacher/LLaDA-MoE-7B-A1B-Instruct-i1-GGUF@2ec29fbe69f07f382a864f93b40c4eecb45e6a0a / LLaDA-MoE-7B-A1B-Instruct.i1-IQ1_S.gguf vs inclusionAI/LLaDA-MoE-7B-A1B-Instruct@67004f662901b09f729994d4b3c04201283941ba: fail-closed: the exact GGUF and official source agree on ordered vocabulary prefix, merges, token types, added/special tokens, deterministic padding, config, and chat template, but the official NFC normalizer encodes decomposed e-acute as token 2900 while pinned BAILINGMOE preserves tokens 68 and 150766; architecture llada-moe, declared pre llada-moe, effective pre llada-moe; llama-vocab.cpp:L2336
bailingmoe2	bailingmoe / BAILINGMOE	deferred	deferred-pinned-artifact-mismatch	pinned-candidate-source-semantic-mismatch (llada-moe-iq1-s-tokenizer-semantic-blocker); mradermacher/LLaDA-MoE-7B-A1B-Instruct-i1-GGUF@2ec29fbe69f07f382a864f93b40c4eecb45e6a0a / LLaDA-MoE-7B-A1B-Instruct.i1-IQ1_S.gguf vs inclusionAI/LLaDA-MoE-7B-A1B-Instruct@67004f662901b09f729994d4b3c04201283941ba: fail-closed: the exact GGUF and official source agree on ordered vocabulary prefix, merges, token types, added/special tokens, deterministic padding, config, and chat template, but the official NFC normalizer encodes decomposed e-acute as token 2900 while pinned BAILINGMOE preserves tokens 68 and 150766; architecture llada-moe, declared pre llada-moe, effective pre llada-moe; llama-vocab.cpp:L2337
bloom	bloom / BLOOM	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
chameleon	chameleon / CHAMELEON	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
chatglm-bpe	glm4 / CHATGLM4	deferred	deferred-pinned-artifact-mismatch	pinned-candidate-source-semantic-mismatch (glm4-7-flash-iq2-xxs-tokenizer-semantic-blocker); bartowski/zai-org_GLM-4.7-Flash-GGUF@464d07505b441959737cd04d900f047469614c8d / zai-org_GLM-4.7-Flash-IQ2_XXS.gguf vs zai-org/GLM-4.7-Flash@a9308079ef95921451a690cd2d16cb572e564642: fail-closed: ordered vocabulary, merges, deterministic padding, config, and chat template are pinned, but seven source added-token flags disagree with GGUF types; pinned CHATGLM4 splits apostrophe-space-CJK differently and detokenizes token 659 without the official leading space; architecture deepseek2, declared pre glm4, effective pre glm4; llama-vocab.cpp:L2257
codeshell	codeshell / CODESHELL	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
cohere2moe	tiny_aya / TINY_AYA	deferred	deferred-pinned-artifact-mismatch	pinned-candidate-source-semantic-mismatch (north-mini-code-iq1-s-tokenizer-semantic-blocker); mradermacher/North-Mini-Code-1.0-i1-GGUF@94d8eb17eaeb728f907639ee0eff457e3e274667 / North-Mini-Code-1.0.i1-IQ1_S.gguf vs CohereLabs/North-Mini-Code-1.0@d11e61a842617a22dc328552fa5bb86231ee4f37: fail-closed: ordered vocabulary, merges, deterministic padding, config, and chat template are pinned, but 23 source added-token flags disagree with GGUF types and pinned TINY_AYA splits tab-space differently from the official North tokenizer; architecture cohere2moe, declared pre cohere2moe, effective pre cohere2moe; llama-vocab.cpp:L2320
command-r	command-r / COMMAND_R	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
dbrx	dbrx / DBRX	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
deepseek-coder	deepseek-coder / DEEPSEEK_CODER	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
deepseek-llm	deepseek-llm / DEEPSEEK_LLM	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
deepseek-r1-qwen	qwen2 / QWEN2	deferred	validated-pinned-source	qwen2.5-0.5b-instruct-q8-tokenizer; llama-vocab.cpp:L2230
deepseek-v3	deepseek-v3 / DEEPSEEK3_LLM	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
default	default / DEFAULT	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
exaone	exaone / EXAONE	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
exaone-moe	exaone-moe / EXAONE_MOE	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
exaone4	gpt-2 / GPT2	deferred	validated-pinned-source	gpt2-q4-tokenizer; llama-vocab.cpp:L2290
f2llmv2	qwen2 / QWEN2	deferred	validated-pinned-source	qwen2.5-0.5b-instruct-q8-tokenizer; llama-vocab.cpp:L2232
falcon	falcon / FALCON	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
falcon-h1	llama3 / LLAMA3	deferred	validated-pinned-source	lfm2-350m-f16-tokenizer; llama-vocab.cpp:L2152
falcon3	llama3 / LLAMA3	deferred	validated-pinned-source	lfm2-350m-f16-tokenizer; llama-vocab.cpp:L2151
gemma4	gemma4 / GEMMA4	deferred	validated-pinned-source	gemma4-e2b-iq2-native-tokenizer; llama-vocab.cpp:L2202
gigachat	gpt-2 / GPT2	deferred	validated-pinned-source	gpt2-q4-tokenizer; llama-vocab.cpp:L2191
glm4	glm4 / CHATGLM4	deferred	deferred-pinned-artifact-mismatch	pinned-candidate-source-semantic-mismatch (glm4-7-flash-iq2-xxs-tokenizer-semantic-blocker); bartowski/zai-org_GLM-4.7-Flash-GGUF@464d07505b441959737cd04d900f047469614c8d / zai-org_GLM-4.7-Flash-IQ2_XXS.gguf vs zai-org/GLM-4.7-Flash@a9308079ef95921451a690cd2d16cb572e564642: fail-closed: ordered vocabulary, merges, deterministic padding, config, and chat template are pinned, but seven source added-token flags disagree with GGUF types; pinned CHATGLM4 splits apostrophe-space-CJK differently and detokenizes token 659 without the official leading space; architecture deepseek2, declared pre glm4, effective pre glm4; llama-vocab.cpp:L2256
gpt-2	gpt-2 / GPT2	deferred	validated-pinned-source	gpt2-q4-tokenizer; llama-vocab.cpp:L2187
gpt-4o	gpt-4o / GPT4O	deferred	deferred-pinned-artifact-evidence	pinned-candidate-identifier-mismatch; mradermacher/oh-dcft-v3.1-gpt-4o-mini-GGUF@41c1d48055e3192a907c0ffc2a886288e9040e33 / oh-dcft-v3.1-gpt-4o-mini.Q2_K.gguf vs Xenova/gpt-4o@7956d98f2a83b2751a98ea7136fdf7fe6cf54e69: name-only candidate rejected: its complete GGUF header dispatches llama-bpe, not gpt-4o, and has 128256 tokens; the pinned llama.cpp fingerprint source has 200000 vocabulary entries plus 2 added tokens and is tokenizer-only, with no model config, chat template, or embedding rows; llama-vocab.cpp:L2307
gpt3-finnish	gpt3-finnish / GPT3_FINNISH	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
granite-docling	granite-docling / GRANITE_DOCLING	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
granite-embed-multi-311m	gemma4 / GEMMA4	deferred	deferred-pinned-artifact-evidence	pinned-candidate-effective-pre-mismatch; SandLogicTechnologies/granite-embedding-311m-multilingual-r2-GGUF@f142535239859391fbef67aaf886d96500ad9fa8 / granite-embedding-311M-multilingual-r2_IQ4_XS.gguf vs ibm-granite/granite-embedding-311m-multilingual-r2@44399559930365213510b1ee2eb15ded83374f0e: complete modern-bert artifact rejected for this exact identifier: it declares no tokenizer.ggml.pre, so pinned llama.cpp uses fallback gemma4 rather than granite-embed-multi-311m. Its artifact-scoped fallback reconstruction matches 480 pinned tokenize/detokenize cases. GGUF-only IDs 262145..262151 are type-4 user-defined tokens; fallback gemma4 promotes only ID 262149 (<
granite-embed-multi-97m	granite-embed-multi-97m / GRANITE_EMB_MULTI	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
grok-2	grok-2 / GROK_2	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
hunyuan	hunyuan / HUNYUAN	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
hunyuan-dense	hunyuan-dense / HUNYUAN_DENSE	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
jais	jais / JAIS	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
jais-2	jais-2 / JAIS2	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
jina-de	gpt-2 / GPT2	deferred	validated-pinned-source	gpt2-q4-tokenizer; llama-vocab.cpp:L2190
jina-es	gpt-2 / GPT2	deferred	validated-pinned-source	gpt2-q4-tokenizer; llama-vocab.cpp:L2189
jina-v1-en	jina-v1-en / GPT2_ADD_SEP	deferred	deferred-pinned-artifact-evidence	pinned-candidate-source-token-mismatch; gpustack/jina-reranker-v1-tiny-en-GGUF@34fdafe5a08b64246bcbfdbf0b8a23f818baf8e3 / jina-reranker-v1-tiny-en-Q2_K.gguf vs jinaai/jina-reranker-v1-tiny-en@aca45de6945b5dc6399abcd2a9c55ded5dc9111f: ordered token id 5 differs: GGUF is empty while the official tokenizer is U+0000; deterministic padding starts only at id 60516; llama-vocab.cpp:L2212
jina-v2-code	jina-v1-en / GPT2_ADD_SEP	deferred	validated-pinned-source	jina-v2-code-q8-tokenizer; llama-vocab.cpp:L2213
jina-v2-de	gpt-2 / GPT2	deferred	validated-pinned-source	gpt2-q4-tokenizer; llama-vocab.cpp:L2193
jina-v2-es	gpt-2 / GPT2	deferred	validated-pinned-source	gpt2-q4-tokenizer; llama-vocab.cpp:L2192
jina-v5-nano	llama3 / LLAMA3	deferred	validated-pinned-source	lfm2-350m-f16-tokenizer; llama-vocab.cpp:L2156
joyai-llm	joyai-llm / JOYAI_LLM	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
kanana2	gpt-4o / GPT4O	deferred	validated-pinned-source	kanana2-1.3b-instruct-q8-tokenizer; llama-vocab.cpp:L2309
kimi-k2	kimi-k2 / KIMI_K2	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
kormo	qwen2 / QWEN2	deferred	validated-pinned-source	qwen2.5-0.5b-instruct-q8-tokenizer; llama-vocab.cpp:L2231
laguna	laguna / LAGUNA	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
lfm2	llama3 / LLAMA3	deferred	validated-pinned-source	lfm2-350m-f16-tokenizer; llama-vocab.cpp:L2155
llada-moe	bailingmoe / BAILINGMOE	deferred	deferred-pinned-artifact-mismatch	pinned-candidate-source-semantic-mismatch (llada-moe-iq1-s-tokenizer-semantic-blocker); mradermacher/LLaDA-MoE-7B-A1B-Instruct-i1-GGUF@2ec29fbe69f07f382a864f93b40c4eecb45e6a0a / LLaDA-MoE-7B-A1B-Instruct.i1-IQ1_S.gguf vs inclusionAI/LLaDA-MoE-7B-A1B-Instruct@67004f662901b09f729994d4b3c04201283941ba: fail-closed: the exact GGUF and official source agree on ordered vocabulary prefix, merges, token types, added/special tokens, deterministic padding, config, and chat template, but the official NFC normalizer encodes decomposed e-acute as token 2900 while pinned BAILINGMOE preserves tokens 68 and 150766; architecture llada-moe, declared pre llada-moe, effective pre llada-moe; llama-vocab.cpp:L2338
llama-bpe	llama3 / LLAMA3	deferred	validated-pinned-source	lfm2-350m-f16-tokenizer; llama-vocab.cpp:L2150
llama-v3	llama3 / LLAMA3	deferred	validated-pinned-source	lfm2-350m-f16-tokenizer; llama-vocab.cpp:L2149
llama3	llama3 / LLAMA3	deferred	validated-pinned-source	lfm2-350m-f16-tokenizer; llama-vocab.cpp:L2148
llama4	gpt-4o / GPT4O	deferred	deferred-pinned-artifact-evidence	pinned-candidate-incomplete-shard; ggml-org/Llama-4-Scout-17B-16E-Instruct-GGUF@42675345da11ade9203a5187595da7b74d4ff2ac / Llama-4-Scout-17B-16E-Instruct-Q4_K_M-00002-of-00002.gguf vs meta-llama/Llama-4-Scout-17B-16E-Instruct@92f3b1597a195b523d8d9e5700e57e4fbb8f20d3: the only pinned Q4_K_M file within 16 GiB is shard 2 of 2; its complete header has only split metadata, 145 of 628 tensors, no tokenizer fields, and no embedding tensor, while shard 1 is 49848377344 bytes; llama-vocab.cpp:L2308
megrez	megrez / QWEN2_CLEAN_SPACES	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
mellum	gpt-2 / GPT2	deferred	validated-pinned-source	gpt2-q4-tokenizer; llama-vocab.cpp:L2195
mellum2	mellum2 / MELLUM2	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
midm-2.0	llama3 / LLAMA3	deferred	validated-pinned-source	lfm2-350m-f16-tokenizer; llama-vocab.cpp:L2154
minerva-7b	minerva-7b / MINERVA	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
minicpm5	minicpm5 / MINICPM5	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
minimax-m2	minimax-m2 / MINIMAX_M2	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
modern-bert	gpt-2 / GPT2	deferred	validated-pinned-source	gpt2-q4-tokenizer; llama-vocab.cpp:L2196
mpt	mpt / MPT	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
olmo	olmo / OLMO	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
phi-2	gpt-2 / GPT2	deferred	validated-pinned-source	gpt2-q4-tokenizer; llama-vocab.cpp:L2188
pixtral	llama3 / LLAMA3	deferred	validated-pinned-source	lfm2-350m-f16-tokenizer; llama-vocab.cpp:L2153
poro-chat	poro-chat / PORO	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
qwen2	qwen2 / QWEN2	deferred	validated-pinned-source	qwen2.5-0.5b-instruct-q8-tokenizer; llama-vocab.cpp:L2229
qwen35	qwen35 / QWEN35	deferred	validated-pinned-source	qwen3.5-0.8b-q4-tokenizer
refact	refact / REFACT	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
roberta-bpe	jina-v1-en / GPT2_ADD_SEP	deferred	validated-pinned-source	roberta-bpe-q2-tokenizer; llama-vocab.cpp:L2214
sarvam-moe	sarvam-moe / SARVAM_MOE	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
seed-coder	seed-coder / SEED_CODER	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
smaug-bpe	smaug-bpe / SMAUG	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
smollm	smollm / SMOLLM	deferred	validated-pinned-source	smollm-135m-f16-tokenizer
solar-open	solar-open / SOLAR_OPEN	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
stablelm2	stablelm2 / STABLELM2	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
starcoder	starcoder / STARCODER	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
superbpe	superbpe / SUPERBPE	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
talkie	gpt-4o / GPT4O	deferred	validated-pinned-source	talkie-13b-q4-native-tokenizer; llama-vocab.cpp:L2310
tekken	tekken / TEKKEN	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
tiny_aya	tiny_aya / TINY_AYA	deferred	deferred-pinned-artifact-mismatch	pinned-candidate-source-semantic-mismatch (north-mini-code-iq1-s-tokenizer-semantic-blocker); mradermacher/North-Mini-Code-1.0-i1-GGUF@94d8eb17eaeb728f907639ee0eff457e3e274667 / North-Mini-Code-1.0.i1-IQ1_S.gguf vs CohereLabs/North-Mini-Code-1.0@d11e61a842617a22dc328552fa5bb86231ee4f37: fail-closed: ordered vocabulary, merges, deterministic padding, config, and chat template are pinned, but 23 source added-token flags disagree with GGUF types and pinned TINY_AYA splits tab-space differently from the official North tokenizer; architecture cohere2moe, declared pre cohere2moe, effective pre cohere2moe; llama-vocab.cpp:L2319
trillion	trillion / TRILLION	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
viking	viking / VIKING	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
whitespace	whitespace / WHITESPACE	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency
youtu	youtu / YOUTU	deferred	deferred-compiled-semantics	compiled-llama.cpp-semantic-dependency

Validation boundary

Normal tests are deterministic and network-free; committed registry records contain compact immutable identities and semantic hashes. Real-artifact qualification is performed serially with pinned revisions, full SHA-256 verification, at least twice the artifact size free, and independent runtime evidence where runtime support is claimed.