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] Avoid O(n) strip_covered_mm_data work per realtime step
- [Bug]: Qwen3.5/3.8 multimodal + native MTP crashes in profile_run — 'NoneType' object has no attribute 'size'
- Revert "[Bugfix][Model Runner V2] Route dummy tokens to MoE experts during profiling (#57270)"
- [Bugfix][KV Connector] Reap expired NIXL leases behind a heartbeated head
- [ROCm] Fuse AR + add-RMSNorm + FP8 quant per token
- [Spec Decode] Expose adaptive verified draft token count
- fix(watermarking): align DualKeyGumbelWatermarkDetector alpha default with generation default
- [Bugfix] Widen ep_gather output offset to int64
- [Core] Pick hybrid KV cache group size by worst-case padding bytes; add --min-kv-cache-group-layers
- [XPU][CI] Make `test_mamba_prefix_cache` block-size agnostic
- Docs
- Python not yet supported