How to use from the
Use from the
llama-cpp-python library
# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="prithivMLmods/visionOCR-3B-061125-GGUF",
	filename="",
)
llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": [
				{
					"type": "text",
					"text": "Describe this image in one sentence."
				},
				{
					"type": "image_url",
					"image_url": {
						"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
					}
				}
			]
		}
	]
)

visionOCR-3B-061125-GGUF

The visionOCR-3B-061125 model is a fine-tuned version of Qwen/Qwen2.5-VL-3B-Instruct, optimized for Document-Level Optical Character Recognition (OCR), long-context vision-language understanding, and accurate image-to-text conversion with mathematical LaTeX formatting. Built on top of the Qwen2.5-VL architecture, this model significantly improves document comprehension, structured data extraction, and visual reasoning across diverse input formats.

Model Files

File Name Size Format Description
visionOCR-3B-061125-BF16.gguf 6.18 GB BF16 Brain floating point 16-bit
visionOCR-3B-061125-Q6_K.gguf 2.54 GB Q6_K 6-bit quantized
visionOCR-3B-061125-Q5_K_M.gguf 2.22 GB Q5_K_M 5-bit quantized, medium quality
visionOCR-3B-061125-Q4_K_M.gguf 1.93 GB Q4_K_M 4-bit quantized, medium quality
visionOCR-3B-061125-Q3_K_M.gguf 1.59 GB Q3_K_M 3-bit quantized, medium quality
visionOCR-3B-061125-Q3_K_S.gguf 1.45 GB Q3_K_S 3-bit quantized, small quality
visionOCR-3B-061125-Q2_K.gguf 1.27 GB Q2_K 2-bit quantized

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):

image.png

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GGUF
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