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
- [Usage]: Does speculative decoding support pipeline parallelism ?
- tracking torch.compile compatibility with lora serving
- [Performance]: It seems that using bge-m3 for performance acceleration did not achieve the expected results.
- [Feature]: Initial Idea and Design for Asynchronous Scheduling
- [Feature]: load and save kv cache from disk
- [Bug]: Crash with Qwen2-Audio Model in vLLM During Audio Processing
- [Bug]: GPU memory leak when using bad_words feature
- [Doc] Fix typos in docs
- [core] improve cpu offloading implementation
- tracking torch.compile compatibility with cpu offloading
- Docs
- Python not yet supported