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
- [Bugfix][V1] Reserve CUDA graph memory in V2 GPU model runner
- Responses API: reasoning.context has no effect on input; prior-turn reasoning is re-rendered and re-verbalized as `<think>`
- fix(parser): discard matching subword buffer prefix on `PreLexedTerminal`
- [Bugfix] Bound hidden-state export staging memory
- [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
- fix(openai): bound validation-error response size for malformed requests
- [Core] Fix EngineDeadError on late KV transfer completion
- add logs to local the garbled text issue
- [Quark] Online-requant unquantized layers via quantization_config ove…
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