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
- [Feature]: Implement naive prepare/finalize class to replace naive dispatching in fused_moe/layer.py
- [BugFix][27485] Fix ITL algorithm for chunked OpenAI chat completions
- [Bug]: Vllm loading gptq quantization of int8 accuracy Qwen3-Next-80b-A3B model error KeyError: 'layers.0.mlp.experts.w2_weight'
- [AMD CI][Feature]: Add more E2E tests to indicate AMD trunk health
- [Installation]: Recipe Installation fails due to missing linux aarch64.whl
- [core] Request wait outside the core.
- [Bugfix] Add explicit cuBLAS linking to _C extension
- [New Model]: https://github.com/facebookresearch/omnilingual-asr
- [New Model]: `jinaai/jina-reranker-v3` new reranking model
- [Bug]: Illegal Memory Access and Incorrect Output with Long Inputs (>5k tokens) on qweN3-next-80b-instruct
- Docs
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