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
- [Feature]: Support NVIDIA Nemotron 3.5 ASR Streaming (nemotron-3.5-asr-streaming-0.6b)
- [Perf] Maintain persistent penalty statistics instead of per-step CPU rebuild in V1 sampler
- [ROCm][Perf] Enable fused indexer-Q RoPE+quant kernel for DeepSeek/GLM sparse attention
- [Rust Frontend] Add TLS certificate hot-reload (`--enable-ssl-refresh`)
- [Bug]: vllm==0.23.0 Qwen3.6-27B, system prompt same in multi requests, But prefix cache failure.
- Fix modelscope >= 1.38 compatibility in modelscope_list_repo_files
- [Bugfix] Handle HarmonyError in streaming process_chunk (gpt-oss)
- [Spec Decode] Add DSpark support for Qwen3.5 target models
- [Bugfix][MoE] Plumb swigluoai activation into FlashInfer b12x MoE
- [RFC]: Port vLLM-built Hopper and Blackwell C++ CUDA kernels to CuTeDSL
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