Add Qwen3.5 MoE hybrid decoder model (back-port from upstream PR #2545)#1
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akeshet wants to merge 2 commits into
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Add Qwen3.5 MoE hybrid decoder model (back-port from upstream PR #2545)#1akeshet wants to merge 2 commits into
akeshet wants to merge 2 commits into
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…rch#2545) Back-ports the Qwen3.5 MoE model (GatedDeltaNet + full attention + MoE) from pytorch#2545 to v0.2.0 APIs. Core model math preserved; registration/parallelization adapted to TrainSpec/BaseModelArgs/ModelProtocol. Includes: model definition, parallelization (TP/EP/FSDP with DTensor-safe wrappers for GatedDeltaNet), HF state dict adapter, 5 model flavors (debugmodel through 397B), and debug training config. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
v0.2.0 exports the class as `Compile`, not `CompileConfig`. Remove the direct import since we only pass `job_config.compile` through to llama4's `apply_compile` which handles the alias internally. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Back-ports the Qwen3.5 MoE model (GatedDeltaNet + full attention + MoE) from pytorch#2545 to v0.2.0 APIs. Core model math preserved; registration/parallelization adapted to TrainSpec/BaseModelArgs/ModelProtocol.
Includes: model definition, parallelization (TP/EP/FSDP with DTensor-safe wrappers for GatedDeltaNet), HF state dict adapter, 5 model flavors (debugmodel through 397B), and debug training config.