qwen3_5_text¶
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Description¶
Qwen3.5 causal language model with hybrid linear/full attention.
Combines standard GQA layers (with output gating) and GatedDeltaNet
linear attention layers in a single decoder stack. The per-layer
attention type is controlled by config.layer_types.
Full attention layers use standard KV cache. DeltaNet layers carry
conv_state and recurrent_state tensors, managed by
- class:
HybridCausalLMTask.
Usage¶
mobius build --model <MODEL_ID> output_dir/
from mobius import build
model = build("<MODEL_ID>")