Underdog releases a 163 MB speech model built from NVIDIA's Parakeet

Conway Research founder Sigil Wen released Underdog Bark 3.0, a 163 MB speech-to-text model for laptops and phones, on October 21 under the CC-BY 4.0 license. Wen said the model, built from NVIDIA's Parakeet, matches or beats larger systems on recorded-meeting transcription while running locally, though its published benchmark puts it level with Parakeet on average rather than ahead.

Underdog releases a 163 MB speech model built from NVIDIA's Parakeet Founder Sigil Wen says Bark 3.0 transcribes meeting audio locally; its published benchmark puts it level with Parakeet on average, not ahead. By Ryan Merket https://runtimewire.com/author/ryan-merket · Published Primary source: X https://x.com/UnderdogAI/status/2112733007484518470 Why it matters Bark makes Conway's on-device AI thesis concrete: a 163 MB speech model with competitive company-reported accuracy, built from existing models and published under a permissive license. Its benchmark table supports a strong result, not an unqualified claim of being the best. Sigil Wen https://sigilwen.ca/index.html , founder of Conway Research, released Underdog Bark 3.0 https://huggingface.co/ConwayResearch/Underdog-Bark-3.0 on October 21st, pitching a 163 MB speech-to-text https://runtimewire.com/models/huggingface/codenamewei-speech-to-text-0e73183c7962a8ad model for laptops and phones. In his announcement on X https://x.com/UnderdogAI/status/2112733007484518470 , Wen said it matches or beats larger systems on recorded-meeting transcription while running locally. The model weights are available under the CC-BY 4.0 license.… When you purchase through links in our articles, we may earn a small commission https://runtimewire.com/affiliate-monetization-standards . This doesn’t affect our editorial independence.