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
- [Bug]: Problems with releasing memory after starting the vllm container
- [Feature]: Support Multiple Tasks Per Model
- [RFC]: Implement Structured Output support for V1 engine
- [Bug]: LLAMA3.1 output not matching with HuggingFace when beam search is enabled.
- [Performance]: Performance regression for long prompt length since vLLM0.6.4.post1
- [Bug]: deepseek-v3-bf16 only generates a null char ""!
- [Usage]: Compilation and Execution Issues Across Different GPU Models After Modifying vLLM Source Code
- [Usage]: Multi-Step Scheduling with Speculative Decoding
- [Feature]: Support out-of-tree register of customize quantization method
- [Model] Add T5 model (2/2)
- Docs
- Python not yet supported