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]: Add Support for Updating Lora Weights
- [Feature]: Add Triton implementation of NVFP4 GEMM
- [Feature]: max-num-partial-prefills in V1
- Il tool compare tool
- [Bug]: The quantization method mxfp4 is not supported for the current GPU SM75
- [Bug]: Memory Leak Issue in Load Testing Scenario
- [Feature][CUDAGraph]: Audit CUDAGraph support in attention backends
- [CI]: Reduce docker build time with caching
- Feature/deepseek v31 lora support
- [Bug]: AMD ROCM6.4.2 No module named 'amdsmi' No module named 'libtpu' No module named 'intel_extension_for_pytorch'
- Docs
- Python not yet supported