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HiFA4 Enables 4-bit FlashAttention for LLM Inference on Ascend NPUs
HiFA4 is a post-training operator-level design that executes FlashAttention components as 4-bit HIF4 Cube GEMMs on Ascend NPUs, maintaining softmax state in FP16. It is the first design of its kind evaluated on standard NLP benchmarks targeting Ascend-HIF4.
HiFA4 allows efficient low-bit precision LLM inference on specialized hardware without retraining, potentially improving performance and resource usage. This advancement supports more practical deployment of large language models on Ascend NPUs.
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Score 75
Source Type arxiv
Reposts 0
Topic Quality 59
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