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
- [Usage]: How does VLLM allocate memory
- [Feature]: Samplers Order support
- [Bug]: exceptiongroup.ExceptionGroup: unhandled errors in a TaskGroup (1 sub-exception)
- [Bug]: ImportError: /usr/local/lib/python3.10/dist-packages/flash_attn_2_cuda.cpython-310-x86_64-linux-gnu.so: undefined symbol: _ZN3c105ErrorC2ENS_14SourceLocationENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE
- [Feature]: Support for compiled model graph for TPUs
- [Installation]: Meet bugs when installing from source
- [Bug]: 0.6.2 OpenAI server outofmem for a previously stable setup
- [Bug]: Assertion Error when inferencing with sample_n>1and occur preemption
- [Installation]: Cannot install with Poetry
- [Bug]: We tested Qwen2.5_3b on opencompass and vllm, and the results are very different
- Docs
- Python not yet supported