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

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 Relea…

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Timeline · 2 reports

  1. 2026-10-08 05:51 · r/machinelearningnews
    A 0.6B query encoder can search a 9B index: Perplexity's pplx-embed-v2-late multimodal embeddings, MIT
  2. 2026-10-08 05:39 · MarkTechPost
    Perplexity AI Releases pplx-embed-v2-late: A 0.6B Edge Model and a 9B Model Scoring 92.4% on MADQA

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