@UnslothAI released a free notebook to train your own decision model so Qwen3.5-4B answers decisions instead of text on 8GB VRAM locally.

Unsloth AI @UnslothAI

2026-10-09EN

315.6k views
3.7k likes
5.8k bookmarks
448 reposts

About this case

Train demo. The post announces a free Colab notebook and guide for data prep (state, questions, gold answers), training, and serving a decision model. Verified via fxtwitter; original media is one photo.

Original posthttps://x.com/UnslothAI/status/2108568667449618930

Related cases

@Matthewagi trained TERN-35B-A3B to try decision models. On an H100 PCIe it reached $0.0116/Mtok, then $0.00773/Mtok on the cost-score Pareto frontier.@Matthewagi
@eeuhn fine-tuned a legal decision model with Unsloth’s notebook to classify trademarks on the Abercrombie spectrum, hitting 75.8% on LegalBench.@eeuhn
@nutlope links an article titled “How to train your own Jev for $17.”@nutlope
@nutlope trained Tev1 0.8B, a tiny Jev-like classifier, and shows it classifying tasks locally on a Mac with Ollama at about 50ms end to end. Weights and benchmarks are said to be coming soon.@nutlope