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]: how to set gpu id in code?
- [Bug]: AssertionError when using automatic prefix caching and prompt_logprobs
- [Performance]: Using vLLM for Llama3.1 405b fp8 on 8xH100 yields poor throughput
- [Bugfix] Fix LongRoPE bug
- [Usage]: Single-node multi-GPU inference
- [Feature]: Dockerfile.cpu for aarch64
- [Usage]: How to call my custom agent through vllm's api service
- [Bug]: GPU Memory Utilization Lower Than Expected with --enable-prefix-caching
- [Usage]:vllm 0.6, I want to use tools calling with qwen2 model, any one know how to write the chat template?
- [Feature]: BitsandBytes quantization with TP>1
- Docs
- Python not yet supported