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
- Changing the gating TG group composition
- [Feature]: investigate if we can turn off the ahead-of-time autotuning block in vLLM
- [Bugfix] Use a different prompt for benchmark_serving.py's test prompt
- [Bug]: vLLM doesn't release memory on deletion of the LLM runner with VLLM_ENABLE_V1_MULTIPROCESSING=0
- [Quantization] Use CompressedTensors utils matching utils, support module ignores
- [ROCm][FEAT] Integrate AITER tgemm.
- draft cp&sp
- [Bug]: triton cache path for standalone_compile seems wrong
- Document CPU weight loading functionality with comprehensive examples and FAQ
- [Feature] Improve GGUF loading from HuggingFace user experience
- Docs
- Python not yet supported