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Implementation and Evaluation of BitNet Inference on a CGLA by Signed-Int4 Instructions
Large language model (LLM) inference transfers model weights and activations for every generated token, making memory traffic and its energy cost part of the decode path. BitNet b1.58 represents its low-bit weights by ternary values and uses integer activations. However, this arithmetic does not mat
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