---
base_model: unsloth/llama-3.2-11b-vision-instruct-unsloth-bnb-4bit
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - mllama
license: apache-2.0
language:
  - en
---

# LLaMA 3.2 Vision Fine-Tuned on OCR Handwriting Dataset

This repository contains the **LLaMA 3.2 Vision Fine-Tuned on OCR Handwriting Dataset** model, a specialized version of the [unsloth/llama-3.2-11b-vision-instruct-unsloth-bnb-4bit](https://huggingface.co/unsloth/llama-3.2-11b-vision-instruct-unsloth-bnb-4bit) model. It has been specifically adapted for Optical Character Recognition (OCR) tasks focused on handwritten text. The fine-tuning process was conducted using the [DataStudio/OCR_handwritting_HAT2023](https://huggingface.co/datasets/DataStudio/OCR_handwritting_HAT2023) dataset, leveraging the Unsloth library for efficient training and inference.

## Model Overview

- **Base Model:** unsloth/llama-3.2-11b-vision-instruct-unsloth-bnb-4bit
- **Task:** Optical Character Recognition (OCR) on handwritten text

### Key Features

- **Fine-Tuning Dataset:** DataStudio/OCR_handwritting_HAT2023
- **Fine-Tuning Method:** LoRA (Low-Rank Adaptation)
- **Optimization:** Utilizes the Unsloth library to enhance training and inference efficiency

## Model Card Metadata

- **Base Model:** unsloth/llama-3.2-11b-vision-instruct-unsloth-bnb-4bit
- **Tags:** text-generation-inference, transformers, unsloth, mllama
- **License:** Apache-2.0
- **Language:** English

## Fine-Tuned Model Details

- **Developed by:** SURESHBEEKHANI
- **License:** Apache-2.0
- **Origin:** Fine-tuned from [unsloth/llama-3.2-11b-vision-instruct-unsloth-bnb-4bit](https://huggingface.co/unsloth/llama-3.2-11b-vision-instruct-unsloth-bnb-4bit)

## Additional Resources

For further details regarding the fine-tuning process, the Unsloth library, and the LoRA method, please consult the following resource:

- **Source Code:** [GitHub Repository](https://shorturl.at/Fp7FW)

## License

This project is distributed under the [Apache-2.0 License](https://www.apache.org/licenses/LICENSE-2.0).