Compute Where It Counts: a Trainable LLM Sparsity Enabling 4x CPU Speed
Posted5 months ago
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Computer Performance
A new approach to LLM sparsity enables 4x CPU speed, allowing for more efficient computation.
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Aug 20, 2025 at 2:58 PM EDT
5 months ago
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Introducing CWIC a trainable LLM sparsity paradigm that beats SOTA methods, enabling 80% sparsity and 4x+ speedups on CPU. It works on models as small as 1b, outperforming TEAL R-sparse and friends. We are releasing code at https://github.com/crystal-ai-org/cwic if your interested in our our work feel free to reach out at https://x.com/crystalAIorg, we love collaboration!