vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [Perf] Launch the top-k/top-p Triton sampler kernel with 8 warps
- [ROCm] Portable Triton paged-MQA-logits kernel + vectorized torch fallbacks for the DeepSeek-V4 sparse indexer
- [Bugfix][KV Offload] Reclaim `/dev/shm` region leak on SIGKILL
- [Frontend] Add reusable TP1 initialized-engine snapshots
- [Performance] DP8 vs TP8 for single-KV-head MLA: 7.7x KV, 3.4x faster 1M TTFT at c=8 (DeepSeek-V4-Flash-0731, 8x B200, vLLM v0.25.0)
- [BugFix][Core] free_blocks: restore prepend (LIFO) reuse order when prefix caching is off
- [Performance] MiniMax-M3-NVFP4 on 8x B200, first numbers after the #48929 correctness fix: 1M real-prose envelope, EAGLE3 2.1-2.3x decode
- [Bugfix][Parser] Stream Inkling plain-text answers incrementally
- [Perf] Keep staged writes in NumPy chunks
- [Bugfix][Mooncake] Save exact Mamba boundary states
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