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CapQwen3.6-27B-BLIP3o-Long-Caption-Distilled-GGUF
prithivMLmods/CapQwen3.6-27B-BLIP3o-Long-Caption-Distilled-GGUF
CapQwen3.6-27B-BLIP3o-Long-Caption-Distilled-GGUF is a image-text-to-text model from prithivMLmods. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
CapQwen3.6-27B-BLIP3o-Long-Caption-Distilled is a high-capability long-caption generation model built on top of Qwen/Qwen3.6-27B, derived from prithivMLmods/Qwen3.6-27B-abliterated-rMAX. This model is optimized for ri…
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Repo size
138 GB
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4
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Repo makeup
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.gguf139 GB · 100%
At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3_5
- Access
- Public
- Created
- Apr 30, 2026
- Updated
- May 2, 2026
- SHA
- 15d488c9
Try a prompt
Base models
Model card
From the Hugging Face model README
CapQwen3.6-27B-BLIP3o-Long-Caption-Distilled-GGUF
CapQwen3.6-27B-BLIP3o-Long-Caption-Distilled is a high-capability long-caption generation model built on top of Qwen/Qwen3.6-27B, derived from prithivMLmods/Qwen3.6-27B-abliterated-rMAX. This model is optimized for rich, detailed, and context-aware captioning, leveraging BLIP3o-style long caption distillation combined with advanced abliteration strategies to reduce refusal behaviors while maintaining strong reasoning and instruction-following performance.
[!IMPORTANT] This model is intended strictly for research and learning purposes. Due to reduced internal refusal mechanisms, it may generate sensitive or unrestricted content. Users assume full responsibility for how the model is used. The authors and hosting platform disclaim any liability for generated outputs.
[!NOTE] Note: This model is experimental and may generate artifacts.
Model Files
| File Name | Quant Type | File Size | File Link |
|---|---|---|---|
| CapQwen3.6-27B-BLIP3o-Long-Caption-Distilled.BF16.gguf | BF16 | 53.8 GB | Download |
| CapQwen3.6-27B-BLIP3o-Long-Caption-Distilled.F16.gguf | F16 | 53.8 GB | Download |
| CapQwen3.6-27B-BLIP3o-Long-Caption-Distilled.Q8_0.gguf | Q8_0 | 28.6 GB | Download |
| CapQwen3.6-27B-BLIP3o-Long-Caption-Distilled.mmproj-bf16.gguf | mmproj-bf16 | 931 MB | Download |
| CapQwen3.6-27B-BLIP3o-Long-Caption-Distilled.mmproj-f16.gguf | mmproj-f16 | 931 MB | Download |
| CapQwen3.6-27B-BLIP3o-Long-Caption-Distilled.mmproj-q8_0.gguf | mmproj-q8_0 | 629 MB | Download |
Quants Usage
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen3_5
- License
- apache-2.0
- Languages
- en
- Created
- Apr 30, 2026
- Updated
- May 2, 2026