ReinforceNowReinforceNow

Quickstart

We will fine-tune a Qwen/Qwen3-8B using supervised fine-tuning (SFT) on example conversations. SFT trains the model to mimic high-quality responses from your dataset.

Step 1: Create a new folder and fetch the template:

rnow init --template sft

Step 2: Start the training run:

rnow run

Your terminal should look similar to this:

Terminal Run

Step 3: View metrics and traces:

Navigate to your experiment link to view your model's performance. You can share your traces by clicking the share button, like this one: https://www.reinforcenow.ai/shared/runs/cmixqdocj000004l8cbkg2bkp

Quickstart Graphs
Quickstart Traces

You can share your experiment traces by clicking the share button.

Next steps

Create Your First Reward

Write your first reward function to train a model

Train Your First Agent

Train an agent that can use tools with RL

CLI Reference

Complete reference for all CLI commands

Overview

Install the ReinforceNow CLI

Create Your First Reward

Write your first reward function to train a model on OpenMathReasoning

On this page

Step 1: Create a new folder and fetch the template:Step 2: Start the training run:Step 3: View metrics and traces:Next steps