modelscope / modelscope/ms-swift

Qwen3Omni lora微调后推理报错

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Python
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Description

使用qwen3-omni的megaton微调后,进行推理出现报错:

ValueError: Qwen3OmniMoeThinkerForConditionalGeneration does not support LoRA yet.

推理脚本:

CUDA_VISIBLE_DEVICES=0,1 \
MAX_PIXELS=1003520 \
swift infer \
    --model Qwen3-Omni/Qwen3-Omni-30B-A3B-Instruct \
    --adapters ckpt/v4-20251212-163234/checkpoint-3 \
    --merge_lora false \
    --stream true \
    --infer_backend vllm \
    --val_dataset ms-swift/data/train_test.jsonl \
    --vllm_gpu_memory_utilization 0.9 \
    --vllm_tensor_parallel_size 2 \
    --vllm_max_model_len 32768 \
    --max_new_tokens 2048 \
    --vllm_limit_mm_per_prompt '{'image': 3, 'video': 3, 'audio': 3}'

请问vllm版本有什么要求吗?我尝试了0.11和0.9.2都没效果

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the reported swift infer command with the Qwen3-Omni model, checkpoint, and vLLM backend. Compare the reported vLLM 0.11 and 0.9.2 environments while tracing the LoRA support check that raises the error. Done means identifying a supported configuration or confirming and documenting the limitation.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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