Phi-4-reasoning-plus
microsoft/Phi-4-reasoning-plus
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 9,028
- Total downloadsCumulative all-time download counter reported by the source platform.
- 438K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +2,646(increase)
- 0.6%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 348
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1986 among tracked Text Generation models.
- #8,500
- 283(down 283 places)this week
- Parameters
- 14.7B
- Last source update
- Nov 24, 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.
- 56.2
- Phi-4-reasoning-plus gained 2,646 downloads during the last seven tracked days.
- It moved from #1922 to #1986 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-4-reasoning-plus is a text generation model published by microsoft. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 6, 2026.
- Published
- Apr 17, 2025
- Last updated
- Nov 24, 2025
- Library
- transformers
- License
- mit
- Task
- Text Generation
- Parameters
- 14,659,507,200
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 378
transformerssafetensorsphi3text-generationphinlpmathcodechatconversationalreasoningen
Publisher
microsoftView publisher statistics →Derived from microsoft/phi-4 (reported by the source; parent not yet tracked).
Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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