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
- [RFC][Experimental]: Model- and platform-customized KV cache planning
- [Bugfix][Quantization] Count only checkpoint elements for padded online-quant MoE weights
- [Bugfix] Skip request body JSON serialization when its log level is disabled
- [Bugfix][Model Loader] Evict loaded shards when checkpoint exceeds RAM
- [Attention] Support NVFP4 KV cache at head_dim 512 (Gemma 4) on SM100
- [Bug]: prompt_logprobs=0 bypasses fast-prefill guard, causing V1 crash or V2 silent errors
- [Bug]: FP8 MoE per-tensor + CUDA graphs causes cross-request contamination via padding row amax
- [Kernel] Use 16-row tiles for SM89 int8 CUTLASS GEMM at M in (16, 64] when they don't add waves
- [Bug]: speculative_config.method="ngram_gpu" with compilation_config.mode="NONE" kills engine init — ValueError: No compilation mode is set.
- [Bugfix] Exclude cudagraph padding rows from the per-tensor FP8 MoE amax
- Docs
- Python not yet supported