Llama-3_1-Nemotron-51B-Instruct
nvidia/Llama-3_1-Nemotron-51B-Instruct
Tracked by OpenModelStats since September 4, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,116
- Total downloadsCumulative all-time download counter reported by the source platform.
- 998K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +456(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.
- 210
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #8312 among tracked Text Generation models.
- #31,734
- 192(down 192 places)this week
- Parameters
- 51.5B
- Last source update
- Jul 6, 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.
- 41.1
- Llama-3_1-Nemotron-51B-Instruct gained 456 downloads during the last seven tracked days.
- It moved from #8245 to #8312 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
Llama-3_1-Nemotron-51B-Instruct is a text generation model published by nvidia. OpenModelStats has tracked the model since Sep 4, 2026, most recently observing it Oct 4, 2026.
- Published
- Sep 22, 2024
- Last updated
- Jul 6, 2025
- Library
- transformers
- License
- other
- Task
- Text Generation
- Parameters
- 51,501,015,040
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 65
transformerssafetensorsnemotron-nastext-generationnvidiallama-3pytorchconversationalcustom_codeenarxiv:2306.05685arxiv:2009.03300
Publisher
nvidiaView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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