Uploaded November 2025 | Updated September 2026, 1 week ago
Extracting data from images can be a challenge, but with Llama models, it doesn't have to be. In this tutorial, you'll learn how to fine-tune Llama 11B Vision Instruct to improve performance for image-to-JSON data extraction. We will go over how to customize and evaluate Llama models for this specific use case while preserving existing knowledge.
You’ll learn how to:
- Extract structured data from images using vision models
- Achieve performance improvements with minimal adjustments
- Prepare and splitting datasets for model training
- Evaluate base model performance
- Understand model training configurations and their components
- Verify that specialized training doesn't negatively impact general performance
Start customizing Llama for your use case today! Head to the GitHub recipe to get started: bit.ly/4nGCmXb
Extracting data from images can be a challenge, but with Llama models, it doesn't have to be. In this tutorial, you'll learn how to fine-tune Llama 11B Vision Instruct to improve performance for image-to-JSON data extraction. We will go over how to customize and evaluate Llama models for this specific use case while preserving existing knowledge.
You’ll learn how to:
- Extract structured data from images using vision models
- Achieve performance improvements with minimal adjustments
- Prepare and splitting datasets for model training
- Evaluate base model performance
- Understand model training configurations and their components
- Verify that specialized training doesn't negatively impact general performance
Start customizing Llama for your use case today! Head to the GitHub recipe to get started: bit.ly/4nGCmXb
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