Phi-3-mini-4k-instruct-bnb-4bit
unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Tracked by OpenModelStats since September 5, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 8,200
- Total downloadsCumulative all-time download counter reported by the source platform.
- 912.6K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,431(increase)
- 0.2%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 47
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #2368 among tracked Text Generation models.
- #9,268
- 30(down 30 places)this week
- Parameters
- 3.9B
- Last source update
- Sep 3, 2024
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 50.9
- Phi-3-mini-4k-instruct-bnb-4bit gained 1,431 downloads during the last seven tracked days.
- It moved from #2359 to #2368 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
Phi-3-mini-4k-instruct-bnb-4bit is a text generation model published by unsloth. OpenModelStats has tracked the model since Sep 5, 2026, most recently observing it Oct 4, 2026.
- Published
- Apr 29, 2024
- Last updated
- Sep 3, 2024
- Library
- transformers
- License
- mit
- Task
- Text Generation
- Parameters
- 3,934,684,862
- Spaces
- —
- Derivative models
- 2
- Velocity 7D/day
- 204
transformerssafetensorsmistraltext-generationunslothphi3phiconversationalenlicense:mittext-generation-inferenceendpoints_compatible
Publisher
unslothView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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