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Unweight: how we compressed an LLM 22% without sacrificing quality
Cloudflare releases Unweight, a lossless inference-time compression system that reduces LLM model footprint by up to 22% without quality loss to improve inference speed and cost.
Running LLMs across Cloudflare’s network requires us to be smarter and more efficient about GPU memory bandwidth. That’s why we developed Unweight, a lossless inference-time compression system that achieves up to a 22% model footprint reduction, so that we can deliver faster and cheaper inference than ever before.
§ sources1 publication · timeline below
- blog.cloudflare.comUnweight: how we compressed an LLM 22% without sacrificing qualityprimary