Qwen3.8-27B-Yes-Man-uncensored
cloudbjorn/Qwen3.8-27B-Yes-Man-uncensored
Tracked by OpenModelStats since September 1, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 112
- Total downloadsCumulative all-time download counter reported by the source platform.
- 3,692
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +7(increase)
- 0.2%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1461 among tracked Image Text to Text models.
- #13,156
- 47(down 47 places)this week
- Parameters
- 27.4B
- 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.
- 31.2
- Qwen3.8-27B-Yes-Man-uncensored gained 7 downloads during the last seven tracked days.
- It moved from #1457 to #1461 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-Yes-Man-uncensored is a image text to text model published by cloudbjorn. OpenModelStats has tracked the model since Sep 1, 2026, most recently observing it Sep 30, 2026.
- Published
- Aug 14, 2026
- Last updated
- Aug 15, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Image Text to Text
- Parameters
- 27,356,728,560
- Spaces
- 0
- Derivative models
- 2
- Velocity 7D/day
- 1
transformerssafetensorsqwen3_5image-text-to-textpeftlorarsloraqwenqwen3.8conversationalmultimodalreasoning
Model family
Based on base-model relationships reported by the source's metadata.
Base model
Derivative models
Sibling models
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