Ultimate Guide to Master LLM Fine-Tuning: Complete Training For Under $5, Zero GPU & Model Storage Costs

The complete Fine-tuning process can be achieved for under $5, with ZERO GPU & no model storage costs.

📚💡 Welcome to the ultimate guide to LLM model fine-tuning! Learn how to quickly make your LLM models work better for your use case with no hassle.

This handbook is your complete guide to fast LLM model fine-tuning. For example, we fine-tuned the advanced Zephyr 7B β model using an on-demand A10G GPU and the best part is you don’t have to own any GPU.

⏱️💪 Just follow these steps, and you’ll cut your training time to about ~38 minutes! 😱 And you know what? Each tuning session (3 epochs) will cost you around $2 only! 💸. (*depends on the models you pick to fine-tune)

📚🚀 Are you excited, Let’s get started right away!” 📚🚀

What is covered in this guide?

I. Introduction
   A. Purpose of the handbook
   B. Example of fine-tuning Zephyr 7B β model
   
II. Account Setup
   A. Signup for a free account
   B. Setting up the account
   C. Add billing details
   D. Create access token
   
III. Data Preparation
   A. Convert data into csv format
   B. Convert CSV RAW data to training data
   C. Code snippet to create training data
   
IV. Create Dataset Repository
   A. Create a dataset repository
   B. Naming the dataset
   C. Upload "train.csv" to dataset repository
   
V. Training Space
   A. Create training space
   B. Visit create new Autotrain space
   C. Steps to create the space
   D. Paste the secret token generated
   E. Click on Create Space
   
VI. Fine-tuning
   A. Initiate the training process
   B. Steps to initiate training
   C. Track training in progress
   
VII. Access the Fine-tuned Model
   A. View model 
   B. Model repository for artifacts and binaries
   
VIII. Use the Fine-tuned Model

What do you get?

❇️ PDF version of the guide in light mode.

OR

❇️ PDF version of the guide in dark mode.

OR

❇️ Interactive version of the blog with password.

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