Accelerating OpenPangu Inference on NPU via Speculative Decoding
Abstract
To mitigate the Memory Wall bottleneck encountered by Large Language Models (LLMs) during inference on NPU hardware, and addressing the scarcity of native support for mainstream speculative decoding algorithms on domestic infrastructure, this study presents an end-to-end speculative inference acceleration scheme for OpenPangu-7B.
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