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
- [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][MoE] Use explicit forward-context layouts for routed-expert capture
- [Feature][Elastic EP] Bootstrap external ranks from a shared launch template
- [Model] Serve Base Labs mammoth-1 / elephant-1 with their trained block-bidirectional mask
- [RFC]: Declared ownership and layout for WeightSource (NCCL broadcast PP + NCCL M2N)
- [Spec Decode] Add draft_context_window for EAGLE-3 drafters
- Docs
- Python not yet supported