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
- [Frontend] Add /health/decode endpoint for engine forward-progress liveness (re-opens #45097)
- fix: resolve SyntaxWarning for invalid escape sequences in OpenAI protocol files
- Allow memory profiling free memory increases
- [Model][Quant] compressed-tensors WNA16 input embeddings + tied embedding (lm_head) support
- Fix cp_gather_cache block table bounds
- Fix moe_wna16 sorted token bounds
- [Bugfix] Fix SamplingParams repr, docstrings, top_k validation order, and convert StructuredOutputsParams to msgspec.Struct
- [Bugfix] CuMemAllocator: zero discarded-tag pages on wake_up
- Fix gpt-oss required tool choice constraints
- Fix LMCache MP LoRA cache salt keying
- Docs
- Python not yet supported