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] Add gfx1151 W8A8 blockscale skinny GEMM
- [Quantization] Prefer Humming before Machete for 4-bit weights on SM90
- [Feature][ROCm][DSv4.1] Mono decode: enable MI350P (gfx950, 128 CUs) via k-pass task decomposition
- [Bugfix][Tool Parser] Extract every InternLM2 tool-call block
- [MM][CG] Support ViT full CUDA graph for Qwen2.5-Omni
- [Feature] Add DoSA prefill indexer on SM100
- [Performance]: Startup sizing of FlashInfer workspace to recover KV-cache capacity
- [ROCm][Quantization] Add int8 lm_head quantization (per-channel and per-group-32) for RDNA (gfx11/gfx12)
- [Bugfix][Frontend] Reject unsupported nested Anthropic tool-result content
- [Feature][KV Connector][Mooncake] Decode-to-prefill KV reuse for multi-turn P/D
- Docs
- Python not yet supported