---
license: apache-2.0
language:
- en
base_model:
- prithivMLmods/Camel-Doc-OCR-062825
pipeline_tag: image-text-to-text
library_name: transformers
tags:
- text-generation-inference
- doc
- ocr
---

# **Camel-Doc-OCR-062825-mmp-GGUF**

> The Camel-Doc-OCR-062825 model is a fine-tuned version of Qwen2.5-VL-7B-Instruct, optimized for Document Retrieval, Content Extraction, and Analysis Recognition. Built on top of the Qwen2.5-VL architecture, this model enhances document comprehension capabilities with focused training on the Opendoc2-Analysis-Recognition dataset for superior document analysis and information extraction tasks.

## Model Files

| File Name | Size | Type | Description |
|-----------|------|------|-------------|
| Camel-Doc-OCR-062825.Q2_K.gguf | 3.02 GB | Model | Q2_K quantized model |
| Camel-Doc-OCR-062825.Q3_K_M.gguf | 3.81 GB | Model | Q3_K_M quantized model |
| Camel-Doc-OCR-062825.Q4_K_M.gguf | 4.68 GB | Model | Q4_K_M quantized model |
| Camel-Doc-OCR-062825.Q5_K_M.gguf | 5.44 GB | Model | Q5_K_M quantized model |
| Camel-Doc-OCR-062825.Q6_K.gguf | 6.25 GB | Model | Q6_K quantized model |
| Camel-Doc-OCR-062825.Q8_0.gguf | 8.1 GB | Model | Q8_0 quantized model |
| Camel-Doc-OCR-062825.f16.gguf | 15.2 GB | Model | Full precision f16 model |
| Camel-Doc-OCR-062825.mmproj-Q8_0.gguf | 853 MB | Projection | Q8_0 multimodal projection |
| Camel-Doc-OCR-062825.mmproj-f16.gguf | 1.35 GB | Projection | f16 multimodal projection |
| .gitattributes | 2.14 kB | Config | Git LFS configuration |
| config.json | 36 Bytes | Config | Model configuration |
| README.md | 633 Bytes | Documentation | Repository documentation |

## 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](https://www.nethype.de/huggingface_embed/quantpplgraph.png)