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
- [New Model]: gemma4-12b-qat-w4a16
- [Core] Offload CUDA graph + NCCL communicator memory in sleep mode
- [Bug]: vllm0.22.1 dsv4-flash have no prefix-cache use for ever
- [Bug]: nvidia/Kimi-K2.6-nvfp4 & v0.23.0 cannot find huggingface downloader file
- [Bug]: OOM in sparse_attn_indexer (fp8_fp4_mqa_logits) when KV offloading + DeepSeek-V4 is used with long contexts
- [Feature]: Cascade Attention for Flashinfer
- [Bug]: Draft model produces degenerate output (token_id=0) in speculative decoding with Qwen3-235B-A22B MoE target
- [Bug]: CUDA error: an illegal memory access was encountered when using turboquant and cuda graph on GB200
- [KVConnector] Remove `VLLM_DISABLE_REQUEST_ID_RANDOMIZATION` and auto-set it for PD
- [Bug]: DiffusionGemma chat logprobs can crash in batched requests
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- Python not yet supported