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 config of use_dummy_driver rather than default 'False'
- [Core] Add use_dummy_dirver to parallel config
- [Installation]: `ModuleNotFoundError: No module named 'numpy.lib.function_base'` due to NumPy 2.0 release
- Test to measure cuda vs non-cuda decode.
- [Bug]: chunked prefill scheudler uses up swap on many n>=2 requests
- [Bug]: Installation Issue with torch Version Conflict on vllm v0.5.0.post1
- [Bug]: Using tensor-parallel-size 4 fails for some models with pyo3_runtime.PanicException: The global thread pool has not been initialized.: ThreadPoolBuildError {"Resource temporarily unavailable" })
- [RFC]: Implement disaggregated prefilling via KV cache transfer
- [RFC]: Branch based version control, and development version
- [Usage]: how to use marlin kernel for GPTQ model
- Docs
- Python not yet supported