c59b52931575e092923b7f054047e691a893c3bf
Docker log proves the root cause:
ModuleNotFoundError: No module named 'vllm.model_executor.models.qwen3_5'
Base image registry lists Qwen3_5MoeForCausalLM in supported architectures
but the actual module file does NOT exist at the expected path. When vllm
tries to inspect_model_cls() in a subprocess, it fails to import the module,
which cascades to ValueError('Model architectures not supported').
The server never starts. All tests score 0.
Fix: patch_ops.sh now unconditionally deploys qwen3_5.py to
$VLLM/model_executor/models/qwen3_5.py (and VLLM2 mirror).
This file provides Qwen3_5ForCausalLM and Qwen3_5MoeForCausalLM classes
that the registry needs to import. Without it the engine cannot even
determine if the model supports multimodal.
project_6
Description
Languages
C++
41.8%
Cuda
31.6%
Python
22.2%
C
2.1%
CMake
1.1%
Other
1.1%