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
- 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
- Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding
- [Bug]: Incompatible version between torch and triton
- [Frontend] support new lora module to a live server in OpenAI Entrypoints
- [Bugfix] Fix beam search logits processor
- [Feature]: DeepSpeed-FP6: An Optimization Approach from Microsoft,6-bit Floating Point (FP6)
- Docs
- Python not yet supported