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
- Serve model Mixtral-8x7B on 4xA100 cuda=12.1, pytorch=2.1.2 failed
- ValueError: Model QWenLMHeadModel does not support LoRA, but LoRA is enabled. Support for this model may be added in the future. If this is important to you, please open an issue on github.
- Add Support for QLORA/QA-QLORA weights which are not merged
- Is it possible to pass more than 1 token during decoding?
- Potential state leaks between tests in spec decoding test
- lm-evaluation-harness broken on master
- add aya-101 model
- Loading vLLM models into CPU memory
- Implement structured engine for parsing json grammar by token with `response_format: {type: json_object}`
- DeepSeek VL support
- Docs
- Python not yet supported