Qwen3.8-27B-heretic-ara-mlx-8Bit
McG-221/Qwen3.8-27B-heretic-ara-mlx-8Bit
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 370
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1,757
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +74(increase)
- 5.0%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 2
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #4456 among tracked Image Text to Text models.
- #47,401
- 911(down 911 places)this week
- Parameters
- 26.9B
- Last source update
- Aug 15, 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.
- 39.4
- Qwen3.8-27B-heretic-ara-mlx-8Bit gained 74 downloads during the last seven tracked days.
- It moved from #4403 to #4456 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
Qwen3.8-27B-heretic-ara-mlx-8Bit is a image text to text model published by McG-221. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it 29h ago.
- Published
- Aug 15, 2026
- Last updated
- Aug 15, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Image Text to Text
- Parameters
- 26,895,993,856
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 11
transformerssafetensorsqwen3_5image-text-to-texthereticuncensoreddecensoredabliteratedreproduciblearamlxmlx-my-repo
Publisher
McG-221View publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Base model
Sibling models
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