Mistral-Nemo-Instruct-2407
unsloth/Mistral-Nemo-Instruct-2407
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 938
- Total downloadsCumulative all-time download counter reported by the source platform.
- 214.7K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +237(increase)
- 0.1%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 13
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #9193 among tracked Text Generation models.
- #34,485
- 27(up 27 places)this week
- Parameters
- 12.2B
- Last source update
- Feb 2, 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.
- 35.9
- Mistral-Nemo-Instruct-2407 gained 237 downloads during the last seven tracked days.
- It moved from #9212 to #9193 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
Mistral-Nemo-Instruct-2407 is a text generation model published by unsloth. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 10h ago.
- Published
- Jul 18, 2024
- Last updated
- Feb 2, 2025
- Library
- transformers
- License
- apache-2.0
- Task
- Text Generation
- Parameters
- 12,247,782,400
- Spaces
- 10
- Derivative models
- 1
- Velocity 7D/day
- 34
transformerssafetensorsmistraltext-generationunslothconversationalenlicense:apache-2.0text-generation-inferenceendpoints_compatibledeploy:azureregion:us
Publisher
unslothView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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