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
- [PD][Feature] Add KV consumer partial-group caching for hybrid Mamba models
- [Kernel] Fuse MRoPE cos/sin gather into the Triton kernel for multimodal inputs
- MulAndSilu rework for vLLM IR
- [Kernel][DSv4] Add sparse-gather variant of dequantize_and_gather_k_cache
- SiluAndMulWithClamp rework for vLLM IR
- Kimi NVFP4 specialized model
- [CI][AMD][BugFix] Set num_gpus=2 for trainer for distributed RL example
- [Bugfix] Treat max_tokens as upper bound, not input-space reservation
- [Bug]: Gemma 4 31B random drops in performance on H200 and B200 with 2 GPUs
- [Feature][KV Cache] Support excluding SWA layers from NVFP4 KV cache
- Docs
- Python not yet supported