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
- [Performance]: Triton unified attention: sliding-window / chunked KV-tile loop iterates an extra tile when the window start is not tile-aligned
- [DSv4] Pack KV caches into contiguous per-block allocations for DeepSeek V4
- [RFC] Add KVarN: Variance-Normalized KV-Cache Quantization (4-bit K, 2-bit V)
- fix: set safe torchinductor cache dir early
- [NIXL] Per-region KV transfer classes for mixed full-attn + MLA groups
- [Core] Add kvcache watermark to reduce preemptions
- [Multimodal] Optimize sparse frames decoding for PyAV video backend
- [codex] Fix ROCm artifact test dependencies
- [Perf] Maybe improve sparse topk heuristic
- [Bug]: rms_norm_per_block_quant crashes on Qwen3.5 models after upgrading to latest vLLM(RTX 5090)
- Docs
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