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][KVConnector] Drain preemptions before V2 request updates
- [Perf] Use value-only reduction for FP8 group quantization
- [Frontend] Recover malformed Harmony tool headers at parse time
- [RFC]: Release all releasable GPU memory in sleep mode (tracking)
- [Bugfix][MoRIIO] Preserve WRITE receive mappings after consumer abort
- [Bugfix][KV Connector][NIXL] Read a GQA draft's head slice from a PCP x DCP prefill
- test: parallel sampling output kinds
- [Distributed][MoonEP] Sharded symmetric-memory expert weights and MoonEP release pin
- [Bugfix][KV Offload] Use the group's own DCP factor for the SWA store mask
- [Bug]: Silent data loss when typo in `role`, server deletes the whole message and request returns 200
- Docs
- Python not yet supported