Llama-3.1-Nemotron-70B-Instruct-HF-abliterated-GGUF
bartowski/Llama-3.1-Nemotron-70B-Instruct-HF-abliterated-GGUF
Text GenerationLicense: llama3.1
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 2,883
- Total downloadsCumulative all-time download counter reported by the source platform.
- 33.1K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +387(increase)
- 1.2%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 8
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #4210 among tracked Text Generation models.
- #16,334
- 335(up 335 places)this week
- Parameters
- —
- Last source update
- Nov 8, 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.
- 45.9
- Llama-3.1-Nemotron-70B-Instruct-HF-abliterated-GGUF gained 387 downloads during the last seven tracked days.
- It moved from #4274 to #4210 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-70B-Instruct-HF-abliterated-GGUF is a text generation model published by bartowski. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Sep 28, 2026.
- Published
- Nov 7, 2024
- Last updated
- Nov 8, 2024
- Library
- —
- License
- llama3.1
- Task
- Text Generation
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 55
ggufnvidiallama3.1text-generationendataset:nvidia/HelpSteer2license:llama3.1region:usimatrixconversational
Publisher
bartowskiView publisher statistics →Similar models
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