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Model Detail

JonathanColetti logo

Qwen3.8-27B-Uncensored

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Provider: JonathanColettiCategory: multimodalPipeline: image-text-to-textParameters: 27B
DB Score
1.5
Downloads
14K
Likes
61
Day
+0.0%
Week
+15.1%
Month
+0.0%
Overview

Qwen3.8-27B-Uncensored is a multimodal model with 27B parameters released by JonathanColetti. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.

Technical

Qwen3.8-27B-Uncensored ships with 27B parameters. Total weight footprint is approximately 27.4 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Trending Signal

Downloads of Qwen3.8-27B-Uncensored have moved +15.1% over the trailing seven days. The trend is mildly positive, consistent with a model that is being picked up incrementally rather than going viral. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Read about databubble_score →
Use Cases

Qwen3.8-27B-Uncensored is best fit for mixed text-and-image reasoning tasks such as document understanding. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Model Info
Licenseapache-2.0
Recent newsView all news →
Related News
arxiv4d ago

On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability

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