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
- [ROCm] Enable MXFP4 MoE weight pre-shuffling on gfx950 and update aiter
- Feat/silu and mul out variant
- [BugFix] Mistakenly passing num_reqs_padded as num_reqs in _dummy_run
- [Model] Remove InternLM
- [Usage]: How to decrease Encoder cache budget from 16384 tokens to something lower?
- [ModelRunner V2] Simplify penalties implementation
- [CI Failure]: mi325_2: Distributed Tests (2 GPUs)
- [ROCm] Add dynamic mxfp4 quantization for DeepSeek V2 projection layers
- Feat/support nemotron new file format
- [CI Failure]: mi325_1: Multi-Modal Models Test (Extended) 3
- Docs
- Python not yet supported