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
- [Bug]: NixlConnector P/D: first handshake per remote engine stalls all DP decode ranks (THP compaction in `_build_fa_remote`); late reads after lease expiry return HTTP 200
- [DeepEPv2] Add VLLM_DEEPEP_V2_NUM_SMS to set the dispatch/combine SM count
- [Bugfix][MoE] Fix online-FP8 NaN from skipped padding slots in TritonExperts
- [Bug]: `lightning_attention` prefill applies one decay step too few to the stored state (tokens after position 256 wrong, and every token when continuing from a non-zero `kv_history`)
- [Bug][KV Connector] Abort before load-failure processing leaves invalid prefix-cache blocks reusable
- [Bugfix][KV Connector] Evict invalid blocks of requests aborted mid-step
- [Feature]: Harden logit_bias against absolute-logit leakage
- [ROCm][Bugfix] Fix non-power-of-two sparse MLA split-K reduction
- [Doc] Fix placeholder count in prefix caching multi-modal example
- [Bugfix][Kernel] Mask the per-key gate load in fused recurrent KDA
- Docs
- Python not yet supported