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
- [Misc] Upgrade vllm-flash-attn to v2.6.2
- Add VLLM_LOGGING_INTERVAL_SEC envvar to control logging rate
- [Feature]: Supporting Guided Decoding via AsyncLLMEngine
- [BugFix] Fix metrics error for --num-scheduler-steps > 1
- [Bug]: Missing TextTokenPrompts class
- [Core] support LoRA and prompt adapter in content-based hashing for Block Manager v2 prefix caching
- [Model] Adding Granite MoE.
- Fix shutdown problem
- [Bug]: vLLM 0.5.5 using prefix caching causing CUDA error: illegal memory access
- [Performance]: Clarification on Base Model Inference Count with Multiple LoRA Models in vLLM Deployment
- Docs
- Python not yet supported