vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [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
- [ROCm][FEAT] Integrate AITER tgemm.
- fp4 support for triton unified attention
- [Bug]: AsyncTP pass has poor perf on B200
- [Bug]: Persistent CPU RAM Growth and Container Restarts with QWEN2-2B on SageMaker, Unaffected by Cache Settings
- Work in Progress
- [EPLB] Weight rearrangement optimization
- P2PXfer Connector
- timeout + masking + support > 1 models per EplbState
- Docs
- Python not yet supported