Huihui-Qwen3.6-27B-abliterated-NVFP4
sakamakismile/Huihui-Qwen3.6-27B-abliterated-NVFP4
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 472
- Total downloadsCumulative all-time download counter reported by the source platform.
- 16.8K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +263(increase)
- 1.6%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 6
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #4189 among tracked Image Text to Text models.
- #44,207
- 308(up 308 places)this week
- Parameters
- 16.7B
- Last source update
- Apr 29, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 43.6
- Huihui-Qwen3.6-27B-abliterated-NVFP4 gained 263 downloads during the last seven tracked days.
- It moved from #4234 to #4189 among tracked Image Text to Text models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
Huihui-Qwen3.6-27B-abliterated-NVFP4 is a image text to text model published by sakamakismile. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it 15h ago.
- Published
- Apr 23, 2026
- Last updated
- Apr 29, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Image Text to Text
- Parameters
- 16,703,361,232
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 38
transformerssafetensorsqwen3_5image-text-to-textqwen3.6nvfp4quantizedcompressed-tensorsblackwellabliteratedvlmvision-language-model
Model family
Based on base-model relationships reported by the source's metadata.
Base model
Sibling models
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