vllm - 💡(How to fix) Fix [Feature]: Integrate FlashQLA for fast linear attention [1 participants]

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vllm-project/vllm#43089Fetched 2026-05-20 03:39:56
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🚀 The feature, motivation and pitch

https://github.com/QwenLM/FlashQLA was published by the Qwen team recently which promises a fast implementation of chunk_gated_delta_rule used in Qwen3.5 / Qwen3.6. It might be useful to integrate it into vllm to speedup models using linear attention.

Alternatives

Currently vllm uses either a customised version of https://github.com/fla-org/flash-linear-attention/ or https://github.com/flashinfer-ai/flashinfer for GDN. Their benchmarks promise to outperform these alternatives.

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vllm - 💡(How to fix) Fix [Feature]: Integrate FlashQLA for fast linear attention [1 participants]