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
- [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
- [Perf][ROCm] Qwen4Exp QSA: pad BLOCK_M to 16 on gfx11 so tl.dot uses WMMA
- [CI][ROCm] Match the AMD steps to the mirror declarations they carry
- feat: use safetensors prefetch api
- [Bugfix][Core] Do not double-count CUDAGraph memory in --kv-cache-memory suggestion
- Docs
- Python not yet supported