vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Bug]: squeezeLLM with sparse could not work.
- [RFC]: Support specifying quant_config details in the LLM or Server entrypoints
- [Usage]: Vllm AutoAWQ with 4-GPU doesnt utilize GPU
- [Usage]: How to change the batch size when testing the throughput of VLLM by running benchmark_throughput
- [Bug]: RAM OOM Error Loading 480GB MoE Model Despite Fix in PR #1395
- [Performance]: Qwen 7b chat model, under 128 concurrency, the CPU utilization rate is 100%, and the GPU SM utilization rate is only about 60%-75%. Is it a CPU bottleneck?
- [Hardware][Intel] Add LoRA adapter support for CPU backend
- [Feature]: Health check for restart policy
- [Bug]: `CohereForAI/c4ai-command-r-v01`OSError: [Errno 12] Cannot allocate memory
- Adding idefics2
- Docs
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