ConwayResearch/Underdog-Bark-3.0

A speech recognition model for English. Bark 3.0 is a 0.6 billion parameter English model distributed as a 163 MB download, and it averages 4.94 percent word error across the Open ASR Leaderboard's seven English evaluation sets. Its small size and reported accuracy make it applicable to English automatic speech recognition tasks where download size matters.

Appearances
1
Categories
1
First seen
28 October 2026
Latest
28 October 2026
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Recorded measurements

Published observations only. Missing dates are not zero, and points do not establish what happened between observations. Each source and unit is shown separately.

Hugging Face model · downloads

Hugging Face models & datasets · 2 dated measurements

Rolling download counts, not lifetime totals or downloads gained between these dates.

Latest value shown: 301 downloads ·

Higher values appear higher on the chart. The scale covers the recorded values.

Hugging Face model: downloads recorded measurements2 dated points, 27 Oct 2026 to 28 Oct 2026. Values range from 261 to 301 downloads. Higher values appear higher. Open the exact values and published evidence below for the data table. Dots are not connected; missing dates are not zero.27 Oct 2026: 261 downloads28 Oct 2026: 301 downloads
View 2 exact dated values and published evidence
Exact values and their published evidence
Measured onValue (downloads)Published in
261
301

“Measured on” uses the original observation date. “Published in” links to the edition that reported it; the dates may differ.

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Appearance history

1 appearance
This page records every appearance of the same entity in the reviewed RiseFinder exports. Rankings keep the original category, period and measurement direction.

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