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
- [SpecDecode] Fall back to text-only drafting on encoder cache miss (#38551)
- [Reload] Add manifest-driven streaming modelwise weight reload
- [Bugfix][KV Connector] Restore state after KV load rejection
- [Bugfix] Avoid accelerator lookup for CPU compile-cache paths
- [Bugfix] Guard missing end_token substring in streaming reasoning parsers
- fix(v1/core): ensure robust non-empty PYTHONHASHSEED handling in init_none_hash
- [Bugfix] ExampleConnector: cap external match at the saved token count
- TurboQuant KV cache: two observations from an sm121 evaluation: hybrid-model init failure; fp16 zero-point overflow on large value outliers
- [Kernel] Add tuned Mamba selective_state_update config for NVIDIA Thor (SM110)
- fix(entrypoints): add reasoning_content field and safe dict serializer to ChatMessage
- Docs
- Python not yet supported