parakeet-tdt-0.6b-v2
nvidia/parakeet-tdt-0.6b-v2
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 353.9K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 11.5M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- —
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
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- LikesCommunity likes reported by the source platform.
- 1,536
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #85 among tracked Speech Recognition models.
- #1,015
- 571(down 571 places)this week
- Parameters
- —
- Last source update
- Jun 29, 2026
- It moved from #19 to #85 among tracked Speech Recognition models this week.
Downloads over time
Daily gain between consecutive observationsNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Likes over time
Not enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Overview
parakeet-tdt-0.6b-v2 is a speech recognition model published by nvidia. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 2h ago.
- Published
- Apr 15, 2025
- Last updated
- Jun 29, 2026
- Library
- nemo
- License
- cc-by-4.0
- Task
- Speech Recognition
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
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nemoautomatic-speech-recognitionspeechaudioTransducerTDTFastConformerConformerpytorchNeMohf-asr-leaderboarden
Publisher
nvidiaView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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