Qwen3.8-27B-NVFP4-RTX5090
gittensor-model-hub/Qwen3.8-27B-NVFP4-RTX5090
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 482.7K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1.1M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +133.3K(increase)
- 16.6%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 173
- +5 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #127 among tracked Image Text to Text models.
- #794
- 28(down 28 places)this week
- Parameters
- 14.6B
- Last source update
- Sep 10, 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.
- 97.8
- Qwen3.8-27B-NVFP4-RTX5090 gained 133.3K downloads during the last seven tracked days.
- It moved from #124 to #127 among tracked Image Text to Text models this week.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
Qwen3.8-27B-NVFP4-RTX5090 is a image text to text model published by gittensor-model-hub. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it 11h ago.
- Published
- Aug 14, 2026
- Last updated
- Sep 10, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Image Text to Text
- Parameters
- 14,557,547,760
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 19K
transformerssafetensorsqwen3_5image-text-to-textnvfp4modeloptnvidiartx-5090blackwellquantizationqwen3.8sparkinfer
Model family
Based on base-model relationships reported by the source's metadata.
Base model
- Qwen3.8-27B6.8M
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