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):