Qwen3.8-27B-Abliterated-MTPLX
grant-ai/Qwen3.8-27B-Abliterated-MTPLX
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 910
- Total downloadsCumulative all-time download counter reported by the source platform.
- 3,948
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +288(increase)
- 8.4%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 4
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #3134 among tracked Image Text to Text models.
- #33,400
- 304(down 304 places)this week
- Parameters
- 26.9B
- Last source update
- Aug 20, 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.
- 51.5
- Qwen3.8-27B-Abliterated-MTPLX gained 288 downloads during the last seven tracked days.
- It moved from #3081 to #3134 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-Abliterated-MTPLX is a image text to text model published by grant-ai. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 2, 2026.
- Published
- Aug 15, 2026
- Last updated
- Aug 20, 2026
- Library
- mtplx
- License
- apache-2.0
- Task
- Image Text to Text
- Parameters
- 26,895,993,856
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 41
mtplxsafetensorsqwen3_5mlxapple-siliconqwen3.8-27Bspeculative-decodingmtpabliteratedvision-language8-bitimage-text-to-text
Publisher
grant-aiView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Base model
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