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
- [RFC]: QuantizationConfig and QuantizeMethodBase Refactor for Simplifying Kernel Integrations
- [Bug]: assert len(self._async_stopped) == 0
- [Feature]: Guided Decoding Schema Cache Store
- [Usage]: RuntimeError: Failed to infer device type (Intel Iris Xe Graphics)
- [Bug]: Assert Error: len(seqs) == 1
- [Bug]: RuntimeError: Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method
- [Usage]: How does VLLM allocate memory
- [Bug]: exceptiongroup.ExceptionGroup: unhandled errors in a TaskGroup (1 sub-exception)
- [Feature]: Support for compiled model graph for TPUs
- [Bug]: Assertion Error when inferencing with sample_n>1and occur preemption
- Docs
- Python not yet supported