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
- [KV Offloading] Support partial-tail prefix reuse with fine-grained prefix matching
- [Bugfix][Core][Spec Decode] Exclude scheduler padding from draft metrics
- fix(config): guard LlamaBidirectionalConfig against missing hf_config.pooling
- [Bug]: MiniMax-M3-NVFP4 illegal memory access
- [ModelRunnerV2] Fix scalar Mamba state update with int32 mappings
- [Core] Fix ValueError on KV load failure with a hybrid KV cache
- [Misc][Doc] Identify vLLM in the S3 client user agent
- [Doc] Add MatrixHub as a model loading source
- [XPU] Add tuned Mamba SSU configs for Intel Arc Pro B70
- [Frontend] Add stream reasoning and tool calls from the derender endpoint
- Docs
- Python not yet supported