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DataBubble·

Model Detail

huihui-ai logo

Huihui-Qwen3.6-27B-abliterated-MTP-GGUF

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Provider: huihui-aiCategory: multimodalPipeline: image-text-to-textParameters: 27B
DB Score
1.9
Downloads
105K
Likes
61
Day
+0.0%
Week
+0.0%
Month
+84.0%
Overview

Huihui-Qwen3.6-27B-abliterated-MTP-GGUF is a multimodal model with 27B parameters released by huihui-ai. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.

Technical

Huihui-Qwen3.6-27B-abliterated-MTP-GGUF ships with 27B parameters, distributed as a quantized weight variant for lower-VRAM inference. 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 Huihui-Qwen3.6-27B-abliterated-MTP-GGUF have moved +84.0% over the trailing thirty days. That is a slight downtrend, consistent with normal cooling as newer models compete for the same workloads. 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

Huihui-Qwen3.6-27B-abliterated-MTP-GGUF 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
Research Paper
arXiv: 2309.16609→
Model Info
Licenseapache-2.0
Citations3,938 (424 influential)
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