Philipp Schmid • 1/30/2025

Mini-R1: Reproduce Deepseek R1 „aha moment“ a RL tutorial

Read Original

This technical tutorial details how to replicate the reinforcement learning 'aha moment' from the DeepSeek R1 paper, where the model learned self-verification. It guides readers through using Group Relative Policy Optimization (GRPO) and Q-LoRA to train an open model on the Countdown numbers puzzle, covering setup, sample generation, and distributed training with Deepspeed and vLLM.

0 comments
#Reasoning #Reinforcement Learning #Grpo
Mini-R1: Reproduce Deepseek R1 „aha moment“ a RL tutorial

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
React, useEffect, and Stale Closures: How to Avoid Them with Dependencies and useRef
Jivbcoop • 4 votes
2
Better react-hook-form Smart Form Components
Maarten Hus • 2 votes
3
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook • 1 votes
4
Quoting Thariq Shihipar
Simon Willison • 1 votes
5
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft • 1 votes
6
Using Browser Apis In React Practical Guide
Jivbcoop • 1 votes