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
- [Build][CPU] Publish indexed Triton CPU wheel dependencies
- [Bug]: A100 run Bolt (nv-community/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB) throw :B12X NVFP4 kernels require a Blackwell 12x device
- [Bugfix][Model Runner V2] Honor use_fp64_gumbel when FlashInfer sampling is available
- [Perf] 添加 RTX PRO 6000D 的可选 BF16 投影适配
- [Kernel] 支持 RTX PRO 6000D 的可选 B12X FP8 尾部投影
- [Model] 接入 MiMo V2 checkpoint 的多层 MTP
- [SpecDecode] 添加 MiMo MTP 可选草稿 logit 校准
- [Spec Decode][Qwen GDN] Keep RecoverSSM replay records out of the Mamba page
- [Bugfix][Model][Quantization][qwen3_5] Pass quant config to Qwen3.5 embeddings
- [Bugfix][KV Connector] Drain sub-connector KV cache events in MultiConnector (fixes worker memory leak)
- Docs
- Python not yet supported