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
- [torch.compile][ROCm] Fuse quantization onto attention using a torch.compile pass
- [Frontend] decrease import time of vllm.multimodal
- [Bugfix]: make most of `test_openai_schema.py` pass
- [Kernel] Adding basic Triton JitCache for triton_attn
- [Usage] Qwen3 Usage Guide
- [CI] Add mteb testing to test the accuracy of the embedding model
- [New Model]: Multimodal Embedding Model GME.
- Support embedding models in V1
- Add FlexAttention to V1
- Modularize fused experts and integrate PPLX kernels
- Docs
- Python not yet supported