Llama-4-Scout-17B-16E-Instruct-unsloth-dynamic-bnb-4bit
unsloth/Llama-4-Scout-17B-16E-Instruct-unsloth-dynamic-bnb-4bit
Tracked by OpenModelStats since September 3, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 126
- Total downloadsCumulative all-time download counter reported by the source platform.
- 12.4K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +37(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.
- 8
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #4820 among tracked Image Text to Text models.
- #52,238
- 418(down 418 places)this week
- Parameters
- 112B
- Last source update
- Apr 12, 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.
- 25.4
- Llama-4-Scout-17B-16E-Instruct-unsloth-dynamic-bnb-4bit gained 37 downloads during the last seven tracked days.
- It moved from #4775 to #4820 among tracked Image Text to Text models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
Llama-4-Scout-17B-16E-Instruct-unsloth-dynamic-bnb-4bit is a image text to text model published by unsloth. OpenModelStats has tracked the model since Sep 3, 2026, most recently observing it Oct 3, 2026.
- Published
- Apr 6, 2025
- Last updated
- Apr 12, 2025
- Library
- transformers
- License
- other
- Task
- Image Text to Text
- Parameters
- 111,923,942,220
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 5
transformerssafetensorsllama4image-text-to-textfacebookmetapytorchllamallama-4conversationalarde
Publisher
unslothView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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