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Perplexity releases pplx-embed-v2-late embedding models in 0.6B and 9B sizes

Original titlePerplexity AI Releases pplx-embed-v2-late: A 0.6B Edge Model and a 9B Model Scoring 92.4% on MADQA

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MarkTechPost
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3/5

Summary

Perplexity released pplx-embed-v2-late in two sizes: a 0.6B model for edge devices and a 9B model for building high-quality indexes. The 9B model scores 92.4% on MADQA and both are MIT-licensed and self-hostable.

Original excerpt

Perplexity's pplx-embed-v2-late comes in 2 sizes: a 0.6B model built to run on edge devices, and a 9B model for building high-quality indexes. Its best score is 92.4% on MADQA, and its weakest is 61.2% on ViDoRe v3 Markdown. Both are MIT-licensed and ready to self-host. The post Perplexity AI Releases pplx-embed-v2-late: A 0.6B Edge Model and a 9B Model Scoring 92.4% on MADQA appeared first on MarkTechPost.

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