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
- [Bugfix] Fail fast with a clear error when CPU offload region exceeds available space
- [Performance]: Impact of Full Cuda Graph on different model sizes, batch size on B200
- [Kernel] Support Nvfp4 Cutedsl Moe Swiglu-oai and Relu2(non-gated) Activation
- Bump actions/setup-python from 6.1.0 to 6.3.0
- [Frontend] Enforce max_tool_calls for Responses built-in tools
- [Bugfix] Fix misclassification of prefill as uniform decode for hybrid models
- [Quantization][Autoround][XPU] Add W4A16(moe) / MXFP4(linear/moe) Support
- [Bug]: DiffusionGemma fails to start with RuntimeError in _compiled_sample_step during torch.compile (matmul shape mismatch)
- Topk softplus sqrt
- [XPU][DeepSeekV4] Dispatch MXFP4 compress kernel to SYCL on XPU
- Docs
- Python not yet supported