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]: v1/responses `enable_response_messages` returns blank message `content`
- [Bug]: 0.8.5.post1 Partial reasoning is empty
- [Usage]:It seems that the prefix cache has not brought about any performance benefits.
- [Feature]: upgrade to CUDA 13 in docker image
- [Feature]: Propagate served-model-name to LMCache metrics
- [Feature]: Support qwen3next with GGUF?
- [RFC]: Add Peak Split & Tail Optimization Strategy
- [Docker Hub]: missing TPU docker images v.0.11.2 and v.0.12.0
- [RFC]: Sharded Context Parallelism for Deepseek DSA
- [Bug]: MPT loading fails with AttributeError: 'dict' object has no attribute 'clip_qkv' and missing 'num_attention_heads'
- Docs
- Python not yet supported