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
- [Misc] p90 and p95 for serving benchmark
- [Usage]: v0.5.3.post1, ray, 2Hosts with 8x48G each, Llama3.1-405B-FP8, failed
- [Usage]: Unable to run `gemma-2-2b-it`
- [Bug]: Mistral Nemo Instruct almost never returns JSON when using `guided_json`
- [Bug]: AttributeError: 'dict' object has no attribute 'kwargs' in llama_index.llms.ollama integration with Ray
- [Bug]: vllm llama3/3.1-8b response is cut
- [Installation]: Could not install packages due to an OSError: [Errno 28] No space left on device but disk still have space
- [Bug]: VLLM crashes when prefix caching is enabled
- [Bugfix] Use correct length in beam search scoring
- [Frontend] Add security scheme to server
- Docs
- Python not yet supported