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Qwen3-VL-8B-Abliterated-Caption-it-GGUF
prithivMLmods/Qwen3-VL-8B-Abliterated-Caption-it-GGUF
Qwen3-VL-8B-Abliterated-Caption-it-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.
The Qwen3-VL-8B-Abliterated-Caption-it model is a fine-tuned version of Qwen3-VL-8B-Instruct, tailored for Abliterated Captioning / Uncensored Image Captioning. This variant is designed to generate highly detailed and…
All-time downloads
35.9K
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Repo size
172 GB
Likes
10
Public
Repo makeup
Click a slice to open those files.
.gguf172 GB · 100%
At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3_vl
- Access
- Public
- Created
- Nov 10, 2025
- Updated
- Nov 10, 2025
- SHA
- 8d6a51ea
Try a prompt
Base models
Model card
From the Hugging Face model README
Qwen3-VL-8B-Abliterated-Caption-it-GGUF
The Qwen3-VL-8B-Abliterated-Caption-it model is a fine-tuned version of Qwen3-VL-8B-Instruct, tailored for Abliterated Captioning / Uncensored Image Captioning. This variant is designed to generate highly detailed and descriptive captions across a broad range of visual categories, including images with complex, sensitive, or nuanced content—across varying aspect ratios and resolutions.
Model Files
| File Name | Quant Type | File Size |
|---|---|---|
| Qwen3-VL-8B-Abliterated-Caption-it.f16.gguf | F16 | 16.4 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.Q2_K.gguf | Q2_K | 3.28 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.Q3_K_L.gguf | Q3_K_L | 4.43 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.Q3_K_M.gguf | Q3_K_M | 4.12 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.Q3_K_S.gguf | Q3_K_S | 3.77 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.Q4_K_M.gguf | Q4_K_M | 5.03 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.Q4_K_S.gguf | Q4_K_S | 4.8 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.Q5_K_M.gguf | Q5_K_M | 5.85 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.Q5_K_S.gguf | Q5_K_S | 5.72 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.Q6_K.gguf | Q6_K | 6.73 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.Q8_0.gguf | Q8_0 | 8.71 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.IQ4_XS.gguf | IQ4_XS | 4.59 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ1_M.gguf | i1-IQ1_M | 2.26 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ1_S.gguf | i1-IQ1_S | 2.12 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_M.gguf | i1-IQ2_M | 3.05 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_S.gguf | i1-IQ2_S | 2.86 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_XS.gguf | i1-IQ2_XS | 2.7 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ2_XXS.gguf | i1-IQ2_XXS | 2.49 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_M.gguf | i1-IQ3_M | 3.9 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_S.gguf | i1-IQ3_S | 3.79 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_XS.gguf | i1-IQ3_XS | 3.63 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ3_XXS.gguf | i1-IQ3_XXS | 3.37 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ4_NL.gguf | i1-IQ4_NL | 4.79 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-IQ4_XS.gguf | i1-IQ4_XS | 4.56 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q2_K.gguf | i1-Q2_K | 3.28 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q2_K_S.gguf | i1-Q2_K_S | 3.08 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q3_K_L.gguf | i1-Q3_K_L | 4.43 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q3_K_M.gguf | i1-Q3_K_M | 4.12 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q3_K_S.gguf | i1-Q3_K_S | 3.77 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q4_0.gguf | i1-Q4_0 | 4.79 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q4_1.gguf | i1-Q4_1 | 5.25 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q4_K_M.gguf | i1-Q4_K_M | 5.03 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q4_K_S.gguf | i1-Q4_K_S | 4.8 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q5_K_M.gguf | i1-Q5_K_M | 5.85 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q5_K_S.gguf | i1-Q5_K_S | 5.72 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.i1-Q6_K.gguf | i1-Q6_K | 6.73 GB |
| Qwen3-VL-8B-Abliterated-Caption-it.imatrix.gguf | imatrix | 5.35 MB |
| Qwen3-VL-8B-Abliterated-Caption-it.mmproj-Q8_0.gguf | mmproj-Q8_0 | 752 MB |
| Qwen3-VL-8B-Abliterated-Caption-it.mmproj-f16.gguf | mmproj-f16 | 1.16 GB |
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_vl
- License
- apache-2.0
- Languages
- en, zh, th
- Created
- Nov 10, 2025
- Updated
- Nov 10, 2025