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A 1.58-bit large language model is a type of large language model (LLM) designed to be computationally efficient. It achieves this by using weights that are restricted to only three values: -1, 0, and +1. This restriction significantly reduces the model's memory footprint and allows for faster proce
1Total Mentions
+0.90Sentiment (Very Positive)
0.0%Velocity (7d)
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