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
- [Quantization] Add ModelOpt NVFP4 W4A16 (4-bit weights, fp16/bf16 activations) support
- [Model Runner V2] FP32 gumbel sampling.
- Add multimodal embed task-prefix docs and tests
- [Performance]: Deepseek-V4 Support and Optimization on ROCm Backend
- Added peagle speculators support
- [ROCm] Harden ROCm Docker apt sources
- [ROCm] mori: add InterNodeV1LL inter-node kernel selection via VLLM_MORI_INTERNODE_KERNEL
- [ROCm] Add XGMI backend for MoRI Connector
- [Bug]: Gemma 4: Unsloth LoRA adapters are ignored during inference despite successful loading
- Fix hipErrorCapturedEvent on RoCM when using LoRA with cuda graphs
- Docs
- Python not yet supported