DiCoW_v3_3_large
BUT-FIT/DiCoW_v3_3_large
Tracked by OpenModelStats since September 3, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 251
- Total downloadsCumulative all-time download counter reported by the source platform.
- 9,422
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +25(increase)
- 0.3%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 3
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1246 among tracked Speech Recognition models.
- #40,826
- 9746(down 9746 places)this week
- Parameters
- 1.6B
- Last source update
- Jun 18, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 35.0
- DiCoW_v3_3_large gained 25 downloads during the last seven tracked days.
- It moved from #1098 to #1246 among tracked Speech Recognition models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
DiCoW_v3_3_large is a speech recognition model published by BUT-FIT. OpenModelStats has tracked the model since Sep 3, 2026, most recently observing it Oct 3, 2026.
- Published
- Jun 9, 2026
- Last updated
- Jun 18, 2026
- Library
- transformers
- License
- cc-by-4.0
- Task
- Speech Recognition
- Parameters
- 1,626,606,080
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 4
transformerssafetensorsDiCoWautomatic-speech-recognitionspeechwhispermultilingualspeaker-diarizationmeeting-transcriptiontarget-speaker-asrBUT-FITcustom_code
Publisher
BUT-FITView publisher statistics →Derived from openai/whisper-large-v3 (reported by the source; parent not yet tracked).
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