You can now train your own Decision model with our free notebook! ๐ก
Qwen3.5-4B will generate decisions instead of text on just 8GB VRAM locally.
Learn to data prep (state, questions, gold answers), train, serve.
Notebook:
Guide:
You can now train your own Decision model like Jev locally!
We increased Qwen3.5 0.8Bโs aggregate accuracy from 20.7% to 74.3% across 3 decision benchmarks - on just 4GB VRAM.
Turn any LLM like Qwen3.8, Gemma 4 into decision models with our open-source Unsloth repo.
We fine-tuned with a Clef head using Unsloth and LoRA (r=64) for one epoch, increasing downstream accuracy from 30โ37% to 78%.
GitHub:
Guide and Notebooks: