reazonspeech-nemo-v2-GGUF
cstr/reazonspeech-nemo-v2-GGUF
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 754
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1,305
- 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.
- —
- LikesCommunity likes reported by the source platform.
- 0
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #980 among tracked Speech Recognition models.
- #26,338
- –this week
- Parameters
- —
- Last source update
- Jul 12, 2026
Downloads over time
Cumulative total downloads observed by OpenModelStatsNot 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
reazonspeech-nemo-v2-GGUF is a speech recognition model published by cstr. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 3h ago.
- Published
- Jun 27, 2026
- Last updated
- Jul 12, 2026
- Library
- ggml
- License
- apache-2.0
- Task
- Speech Recognition
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
ggmlggufaudiospeech-recognitiontranscriptionnemornntfastconformerreazonspeechjapaneseautomatic-speech-recognitionja
Publisher
cstrView publisher statistics →Derived from reazon-research/reazonspeech-nemo-v2 (reported by the source; parent not yet tracked).
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