Qwen3.8-27B-AWQ-INT4
avyukth/Qwen3.8-27B-AWQ-INT4
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 106.6K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 111.9K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +11.4K(increase)
- 11.3%(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
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #362 among tracked Image Text to Text models.
- #2,402
- 19(down 19 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.
- 68.9
- Qwen3.8-27B-AWQ-INT4 gained 11.4K downloads during the last seven tracked days.
- It moved from #365 to #362 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-AWQ-INT4 is a image text to text model published by avyukth. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Sep 19, 2026.
- Published
- Aug 15, 2026
- Last updated
- Aug 15, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Image Text to Text
- Parameters
- 27,356,728,560
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 1,624
transformerssafetensorsqwen3_5image-text-to-textqwen3.8qwen3_8qwenawqint4w4a16compressed-tensorsvllm
Publisher
avyukthView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Base model
- Qwen3.8-27B7.4M
Sibling models
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