Vicuna-13b-16k with vllm not repeats a single word in output
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- Python
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Description
I tried to use Vicuna-13b-16k with vllm worker(feature in Fastchat library). In that case, it repeats single word in output.
reproduce the error:
" python3 -m fastchat.serve.vllm_worker --model-names "gpt-3.5-turbo,text-davinci-003,text-embedding-ada-002" --model-path lmsys/vicuna-13b-v1.5-16k --num-gpus 2"
however it works when I replace "vllm_worker" to "model_worker"
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First steps
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Research direction
Start by reproducing the command with fastchat.serve.vllm_worker and compare its output with model_worker using the same Vicuna model and two GPUs. Trace the vllm_worker entry point and the model-serving path to identify why output repeats a single word; done means the vllm worker produces normal, non-repeating output for this reproduction.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100