What is the fastest token generation speed for Vicuna-13B?
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- Python
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Description
Hi, I was running the huggingface_api.py following its default setting, except the --temperature is reduced to 0.001.
I would like to reduce the inference time of Vicuna-13B-v1.3, however, I found that the fastest speed I can get is only 27 tokens/second. I am not sure if this is the fastest speed it is supposed to be and feel like it is too slow.
Could anyone please help to advice how can I improve the inference speed?
I am using Ubuntu 20.04.06, single NVIDIA A100 80GB GPU, model path lmsys/vicuna-7b-v1.3
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Research direction
Start with fastchat/serve/huggingface_api.py and reproduce the reported generation speed using the stated Ubuntu, A100, and model settings. First resolve whether the target is Vicuna-13B or the lmsys/vicuna-7b-v1.3 model; the issue does not define a specific code change or a measurable completion criterion.
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Assessment
- Tech stack
- linux, python, ubuntu
- Domain
- ai, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100