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]: Selective Weight Reload for RL Training
- [Bugfix][CPU] Extract per-ISA _C variants for precompiled CPU wheels
- [KV Connector][NIXL] Coalesce host-buffer KV copies across cache groups
- support FlexKV for VERL
- [Perf][Spec Decode] Optimize BS=1 dflash/dspark serving (+11% decode, -58% cache-hit TTFT)
- [Bug]: prefix-caching hash configuration changes deterministic repeated output
- [Bugfix][Rust Frontend][Parser] Reject empty HY tool call names
- [ROCm][Kimi-K3][DCP] Enable MLA query replication
- [Bugfix][Kimi-K3] Fix two crashes that make --use-replayssm unusable
- [Feature]: Upgrade XGrammar to >=0.2.4 and expose max_whitespace_cnt
- Docs
- Python not yet supported