# Fireworks explains how to train a specialized open model with SFT

> Original title: Fireworks' @Prof_OZ explains how training a specialized open model is easier than you may realize.

- Source: Fireworks
- Published: 2026-10-23T23:44:16.000Z
- Bad Influence: https://badinfluence.news/items/uzdil007yvt8yg9vj6ebh3zjg
- Original: https://x.com/FireworksAI_HQ/status/2113778565606936748

## Summary

Fireworks' Prof_OZ explains how to use supervised fine-tuning (SFT) to train a behavior into an open model's weights, so prompts no longer need to repeat it. The steps are to pick one task, pair inputs with ideal outputs, train on Fireworks, test on new inputs, and compare against the original model. A full guide is linked in the post.

## Post

Fireworks' @Prof_OZ explains how training a specialized open model is easier than you may realize. 

The first step involves using supervised fine-tuning (SFT) to train a behavior into the model's weights. This way, you don't have to repeat it in every prompt.

→ Pick one task
→ Pair inputs with ideal outputs
→ Train on Fireworks
→ Test on new inputs
→ Compare against the original

Here's the full guide for you to try yourself: https://docs.fireworks.ai/fine-tuning/fine-tuning-models

[Video](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Fmedia%2FHVWmZ03X0AAa5ru.jpg&mode=thumb&exp=1793836800&sig=ec98aa8965d54978)