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
- Provided example for loading GGUF model is not working [Bug]:
- [Usage]: add mulitple lora in docker
- [Bug]: "500 Internal Server Error" after upgrade to v0.5.4
- Stream responses and display in Flask
- [Bug]: llama 3.1 70b vs mistral-large generation speed
- [Bug]: Failure to instantiate mixtral 8x7b model requires restarting script
- [Usage]: Increase the maximum number of running reqs, which now seems to default to 100
- [RFC]: Initial support for RBLN NPU
- [Bug]: lora response's moel name is incorrect
- [Bug]: GPU memory leaks in the model forward leading to OOM
- Docs
- Python not yet supported