Llama-3_3-Nemotron-Super-49B-v1_5
nvidia/Llama-3_3-Nemotron-Super-49B-v1_5
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 61.8K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 2.1M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +3,569(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.
- 236
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #755 among tracked Text Generation models.
- #3,386
- 16(up 16 places)this week
- Parameters
- 49.9B
- Last source update
- Oct 15, 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.
- 54.5
- Llama-3_3-Nemotron-Super-49B-v1_5 gained 3,569 downloads during the last seven tracked days.
- It moved from #759 to #755 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_3-Nemotron-Super-49B-v1_5 is a text generation model published by nvidia. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 5, 2026.
- Published
- Jul 25, 2025
- Last updated
- Oct 15, 2025
- Library
- transformers
- License
- other
- Task
- Text Generation
- Parameters
- 49,867,145,216
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 510
transformerssafetensorsnemotron-nastext-generationnvidiallama-3pytorchconversationalcustom_codeenarxiv:2411.19146arxiv:2505.00949
Publisher
nvidiaView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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