moss-tts-local-transformer-4.55b-voice-acting-v2-sft
laion/moss-tts-local-transformer-4.55b-voice-acting-v2-sft
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 35
- Total downloadsCumulative all-time download counter reported by the source platform.
- 120
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +17(increase)
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #626 among tracked Text to Speech models.
- #56,760
- 906(down 906 places)this week
- Parameters
- 4.1B
- Last source update
- Aug 23, 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.
- 12.9
- moss-tts-local-transformer-4.55b-voice-acting-v2-sft gained 17 downloads during the last seven tracked days.
- It moved from #623 to #626 among tracked Text to Speech models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
moss-tts-local-transformer-4.55b-voice-acting-v2-sft is a text to speech model published by laion. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it 9h ago.
- Published
- Aug 23, 2026
- Last updated
- Aug 23, 2026
- Library
- transformers
- License
- cc-by-4.0
- Task
- Text to Speech
- Parameters
- 4,129,990,144
- Spaces
- 0
- Derivative models
- 2
- Velocity 7D/day
- 2
transformerssafetensorsmoss_tts_localfeature-extractiontext-to-speechvoice-actingspeech-synthesismossemotionvoice-cloningcustom_codeen
Publisher
laionView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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