데브허브 | DEVHUB | Fine-Tune Llama 3.2 Vision Model with Healthcare Images in 8 mins!
🔥 Complete Guide: Fine-tuning Llama 3.2 Vision Model for Medical Imaging
Learn how to fine-tune the 11B parameter Llama 3.2 Vision model for specialized medical imaging analysis! Perfect for healthcare AI applications and radiographic image processing.
Code: https://mer.vin/2024/11/finetune-llam...
🎯 What You'll Learn:
Loading and preparing the Llama 3.2 Vision model
Dataset preparation with Radiology Mini
Fine-tuning process using Unsloth
Before & after training comparisons
Saving and deploying to Hugging Face
Working with LORA adapters
🚀 Special Discount:
Use coupon code "MervinPraison" for 50% off on A6000 machine at Massed Compute: https://bit.ly/mervin-praison
📦 Required Packages:
Unsloth
PyTorch
Hugging Face Transformers
🔧 Key Steps Covered:
Model Loading
Dataset Preparation
Pre-fine-tuning Analysis
Training Configuration
Post-fine-tuning Results
Model Saving & Deployment
📚 Related Videos:
MLX Package Tutorial: • Apple MLX Fine Tuning: Complete Crash Cour...
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#AIHealthcare #MachineLearning #LlamaAI #MedicalImaging #DeepLearning #AITutorial #MetaAI #PyTorch #HuggingFace #ComputerVision
AI in Healthcare
Timestamp:
0:00 - Introduction to Llama 3.2 Vision Model
1:17 - Installation & Setup
1:48 - Step 1: Loading the Model
2:18 - Step 2: Loading the Dataset
3:24 - Step 3: Tokenization Process
4:36 - Step 4: Fine-tuning Process
5:23 - Step 5: Post-training Results
5:50 - Step 6: Saving to Hugging Face
6:21 - Explanation of Lora & Model Merging
6:58 - Quick Overview of All Steps
7:14 - Code Execution & Results
8:13 - Conclusion
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