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Description
Proposal to improve performance
I am running LLama 70b FP8, the entire model and inference run fit on GPU but I still see around 100GB of CPU RAM usage. Why does vLLM use CPU memory even when inference is running on GPU only?
Report of performance regression
No response
Misc discussion on performance
No response
Your current environment (if you think it is necessary)
The output of `python collect_env.py`
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