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
- Fix document of torchrun_example.py
- [Bug]: Wrong Generation Under High Concurrency When Using KVCache CPU Offload (vLLM 0.13.0)
- fix(core): break circular reference in Request using weakref
- [RFC]: Improve environment variable declaration and handling
- [Feature]: Support explicit dependency to enable interaction between requests
- [Bug]: accuracy issue with VLLM_USE_FLASHINFER_MOE_FP8=1 for Qwen3-Coder-480B-A35B-Instruct-FP8
- [Feature]: Enable LoRA support for tower and connector in more MM models
- [Bugfix] Enforce strict EOS handling in structured outputs with Outlines backend
- [Bugfix] fix routing_method_type default value
- [Core] Optimize group size selection for hybrid KV cache
- Docs
- Python not yet supported