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Sponsored by
Vmake Labs Video Enhancer
prithivMLmods / DeepCaption-VLA-V2.0-7B-AIO-GGUF
Model's Last Updated: December 25 2025
image-text-to-text
Introduction of DeepCaption-VLA-V2.0-7B-AIO-GGUF
Model Details of DeepCaption-VLA-V2.0-7B-AIO-GGUF
DeepCaption-VLA-V2.0-7B-AIO-GGUF
DeepCaption-VLA-V2.0-7B from prithivMLmods is an advanced 7B-parameter vision-language model fine-tuned from Qwen2.5-VL-7B-Instruct, enhancing the original DeepCaption-VLA with significantly improved multilingual inference for precise image captioning and Vision Language Attribution (VLA) across English, Chinese (Zh), Thai (Th), and other languages, generating attribute-rich descriptions of visual properties, object attributes, scene details, colors, environments, moods, and actions in diverse formats (wide, tall, square, irregular aspect ratios) for general, artistic, technical, abstract, or low-context images. V2.0 delivers higher captioning quality and attribution accuracy through refined training on curated datasets emphasizing semantic precision and descriptive fluency, supporting variational detail control—from concise summaries to fine-grained outputs—via structured formats like Caption:, Attributes:, and {class_name==core_theme}, making it ideal for research, dataset annotation, object detection, scene understanding, and multilingual creative applications using Transformers/Qwen2VLForConditionalGeneration. While robust across non-standard visuals, it may over-attribute ambiguous content, vary by prompt phrasing, or degrade slightly on highly synthetic domains, positioning it as an experimental upstream VLM for advanced vision-language tasks.
DeepCaption-VLA-V2.0-7B [GGUF]
| File Name | Quant Type | File Size | File Link |
|---|---|---|---|
| DeepCaption-VLA-V2.0-7B.IQ4_XS.gguf | IQ4_XS | 4.25 GB | Download |
| DeepCaption-VLA-V2.0-7B.Q2_K.gguf | Q2_K | 3.02 GB | Download |
| DeepCaption-VLA-V2.0-7B.Q3_K_L.gguf | Q3_K_L | 4.09 GB | Download |
| DeepCaption-VLA-V2.0-7B.Q3_K_M.gguf | Q3_K_M | 3.81 GB | Download |
| DeepCaption-VLA-V2.0-7B.Q3_K_S.gguf | Q3_K_S | 3.49 GB | Download |
| DeepCaption-VLA-V2.0-7B.Q4_K_M.gguf | Q4_K_M | 4.68 GB | Download |
| DeepCaption-VLA-V2.0-7B.Q4_K_S.gguf | Q4_K_S | 4.46 GB | Download |
| DeepCaption-VLA-V2.0-7B.Q5_K_M.gguf | Q5_K_M | 5.44 GB | Download |
| DeepCaption-VLA-V2.0-7B.Q5_K_S.gguf | Q5_K_S | 5.32 GB | Download |
| DeepCaption-VLA-V2.0-7B.Q6_K.gguf | Q6_K | 6.25 GB | Download |
| DeepCaption-VLA-V2.0-7B.Q8_0.gguf | Q8_0 | 8.1 GB | Download |
| DeepCaption-VLA-V2.0-7B.f16.gguf | F16 | 15.2 GB | Download |
| DeepCaption-VLA-V2.0-7B.mmproj-Q8_0.gguf | mmproj-Q8_0 | 856 MB | Download |
| DeepCaption-VLA-V2.0-7B.mmproj-f16.gguf | mmproj-f16 | 1.35 GB | 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):
Runs of prithivMLmods DeepCaption-VLA-V2.0-7B-AIO-GGUF on huggingface.co
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More Information About DeepCaption-VLA-V2.0-7B-AIO-GGUF huggingface.co Model
Url of DeepCaption-VLA-V2.0-7B-AIO-GGUF
DeepCaption-VLA-V2.0-7B-AIO-GGUF huggingface.co Url
Provider of DeepCaption-VLA-V2.0-7B-AIO-GGUF huggingface.co
Other API from prithivMLmods
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