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# vLLM Integration | |
You can use [vLLM](https://vllm.ai/) as an optimized worker implementation in FastChat. | |
It offers advanced continuous batching and a much higher (~10x) throughput. | |
See the supported models [here](https://vllm.readthedocs.io/en/latest/models/supported_models.html). | |
## Instructions | |
1. Install vLLM. | |
``` | |
pip install vllm | |
``` | |
2. When you launch a model worker, replace the normal worker (`fastchat.serve.model_worker`) with the vLLM worker (`fastchat.serve.vllm_worker`). All other commands such as controller, gradio web server, and OpenAI API server are kept the same. | |
``` | |
python3 -m fastchat.serve.vllm_worker --model-path lmsys/vicuna-7b-v1.3 | |
``` | |