Supercharge Mistral-7B with GRPO Finetuning: A Beginner-Friendly Tutorial with Code

Author(s): Krishan Walia

Originally published on Towards AI.

GRPO Finetuning can take the reasoning capabilities of your LLM to the next level — Learn how? (With Code)

When OpenAI’s ChatGPT was at its peak and was everyone’s go-to Large Language Model, it was DeepSeek that turned the tables by introducing a completely new model that reasons and thinks before answering— something which was completely new to the market!

This article provides a comprehensive guide to fine-tuning the Mistral-7B language model using GRPO (Gradient Regularised Policy Optimization) techniques. It explains how GRPO enhances reasoning capabilities in models, offering step-by-step instructions for installation, dataset preparation, and code implementations necessary for effective training. The piece emphasizes the importance of reward functions in guiding model behavior while exploring practical applications and settings for experimentation, making complex machine learning tasks accessible to beginners with limited resources.

Read the full blog for free on Medium.

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Published via Towards AI