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
- [RFC]: Multimodal Asynchronous Collaborative Architecture Sidecar
- [Bug]: v0.25.0 regression - Qwen3.5 FP8 on H200 crashes during CUDA graph capture with CUDA illegal memory access
- Responses API: reasoning.context has no effect on input; prior-turn reasoning is re-rendered and re-verbalized as `<think>`
- [Bugfix] Fix empty logprob_token_ids silently bypassing validation via truthy checks
- [Bugfix]: ensure previous_text and tokens id accumulation in streaming state for named and required tool choices
- [Core] Fix EngineDeadError on late KV transfer completion
- [Quark] Online-requant unquantized layers via quantization_config ove…
- [Core][KV Connector][Mooncake] Support MRV2 prefill PCP in Mooncake
- [Bug]: Stale partial prefix-cache hash resurrected into the cache after full-block promotion
- [Performance] Enable MLA RoPE KV-cache fusion by default
- Docs
- Python not yet supported