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
- [vLLM IR] Support optional output tensor in dynamic_group_quant_fp8 and refactor legacy calls
- [Core/IR] Migrate per_token_group_quant_fp8 to standardized IR Op
- [Feature]: Support responses api in tokenize endpoint
- [MoE] Move flashinfer cutlass moe to fused_moe/experts/
- [Bug]: Worse EAGLE3 acceptance rates on MRV2
- [Core][WIP] Check for GPU<->CPU sync during CI
- [ROCm] Enable SimpleCPUOffloadConnector on ROCm
- [Bugfix] Close ApiServer ZMQ bind race with wildcard bind + pipe-back
- Add GELU activation function to dispatch to existing TRTLLM NvFP4 MoE backend
- [Build] Fall back to system libgomp when torch has no vendored copy
- Docs
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