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][Perf] Skip redundant sparse index remap on non-indexer layers
- [Bugfix][Spec Decode] Replace path heuristics with checkpoint method inference
- [Bugfix] Keep top-level quantization_config when benchmark_moe descends via --model-prefix
- [Bug]: LoRA set_lora on merged QKV/gate_up raises IndexError when lora_a is a single tensor
- Add SM90 FA4 Dense and MLA
- [Bug]: Kimi K3 usage.prompt_tokens over-counts trailing channel-open stub (+3)
- [Bugfix] Stop fusing scale_ue8m0=True group quant into ue8m0-unaware fused kernels
- [Perf] Use the fused rotary_embedding kernel in DeepseekScalingRotaryEmbedding without FlashInfer
- [Bugfix] Use the V2 model runner for Gemma 4 MoE so MTP drafting works
- [Bugfix] Save logical sharded state before postprocessing
- Docs
- Python not yet supported