Qwen3.6-27B-abliterated-v2-GPTQ-Pro-FOEM-4bit-g128
groxaxo/Qwen3.6-27B-abliterated-v2-GPTQ-Pro-FOEM-4bit-g128
Tracked by OpenModelStats since September 2, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 305
- Total downloadsCumulative all-time download counter reported by the source platform.
- 45.5K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +49(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.
- 1
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #4556 among tracked Image Text to Text models.
- #48,631
- 294(down 294 places)this week
- Parameters
- 27.4B
- Last source update
- Aug 22, 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.
- 25.1
- Qwen3.6-27B-abliterated-v2-GPTQ-Pro-FOEM-4bit-g128 gained 49 downloads during the last seven tracked days.
- It moved from #4496 to #4556 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
Qwen3.6-27B-abliterated-v2-GPTQ-Pro-FOEM-4bit-g128 is a image text to text model published by groxaxo. OpenModelStats has tracked the model since Sep 2, 2026, most recently observing it Oct 1, 2026.
- Published
- Apr 29, 2026
- Last updated
- Aug 22, 2026
- Library
- transformers
- License
- —
- Task
- Image Text to Text
- Parameters
- 27,356,728,560
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 7
transformerssafetensorsqwen3_5image-text-to-textqwenqwen2-vlmultimodalvision-languagegptqgptq-pro4bitfoem
Publisher
groxaxoView publisher statistics →Similar models
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