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DataBubble·

Model Detail

Jackrong logo

Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GGUF

—
Provider: JackrongCategory: multimodalPipeline: image-text-to-textParameters: 27B
DB Score
1.4
Downloads
633K
Likes
651
Day
+0.0%
Week
+0.0%
Month
-23.2%
Overview

Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GGUF is a multimodal model with 27B parameters released by Jackrong. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.

Technical

Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-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 Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-GGUF have moved -23.2% 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

Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-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
Citations3,775 (409 influential)
Recent newsView all news →
Related News
arxivneutral21d ago

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arXiv:2605.11907v2 Announce Type: replace Abstract: We measure procedural-skill SFT contribution across three Qwen3.5 dense scales (0.8B, 2B, 4B) on a 200-task / 40-skill holdout, with Claude Haiku 4.5 as a frontier reference. The corpus is 353 rows of (task + procedural-skill block, Opus chain-of-t

arxiv44d ago

Qwen3.5-Omni Technical Report

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