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
- [Bugfix][Quantization] Thread input_quant into MXFP8 MoE dispatch
- [Perf][GLM-5.3] GLM-5.3 latency-specialized decode on B200 (CuTe DSL)
- [ROCm][Perf][DSv4] gfx1250 W4A4 MoE: fused silu + fused quant + preshuffled weights
- [Bugfix] Fix illegal memory access when MTP/DFlash/DSpark drafts run past their max_position_embeddings
- [Bug]: [ROCm] AutoAWQ checkpoints never use the RDNA W4A16 kernel; AWQ decodes 2.5x slower than BF16 on gfx1151
- [Bugfix][Muse Spark] Keep the FP32 RoPE tables in FP32
- [Feature] Add request-level prefill progress to gRPC streaming
- [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
- Docs
- Python not yet supported