SmallThinker-4BA0.6B-Instruct
Tiiny/SmallThinker-4BA0.6B-Instruct
Tracked by OpenModelStats since September 4, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,801
- Total downloadsCumulative all-time download counter reported by the source platform.
- 5,597
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +106(increase)
- 2.1%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 62
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #6293 among tracked Text Generation models.
- #23,584
- 95(up 95 places)this week
- Parameters
- 4.3B
- Last source update
- Jul 31, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 37.6
- SmallThinker-4BA0.6B-Instruct gained 106 downloads during the last seven tracked days.
- It moved from #6285 to #6293 among tracked Text Generation models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
SmallThinker-4BA0.6B-Instruct is a text generation model published by Tiiny. OpenModelStats has tracked the model since Sep 4, 2026, most recently observing it Oct 4, 2026.
- Published
- Jul 26, 2025
- Last updated
- Jul 31, 2025
- Library
- transformers
- License
- apache-2.0
- Task
- Text Generation
- Parameters
- 4,268,459,520
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 15
transformerssafetensorssmallthinkerfeature-extractiontext-generationconversationalcustom_codeenarxiv:2507.20984license:apache-2.0region:us
Publisher
TiinyView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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