@maximelabonne: Small decision models can be insanely good when fine-tuned. We played with d1-omni-600M and it can destroy any model on…

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Maxime Labonne highlights that small decision models like d1-omni-600M can be extremely effective when fine-tuned, with Leonie sharing notebooks on fine-tuning the d1-3B decision model using Unsloth and Hugging Face TRL in 30 minutes on a free-tier GPU.

Small decision models can be insanely good when fine-tuned. We played with d1-omni-600M and it can destroy any model on the games + format (state, input) you train it on.
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Small decision models can be insanely good when fine-tuned.

We played with d1-omni-600M and it can destroy any model on the games + format (state, input) you train it on.

leonie (@helloiamleonie): how do you fine-tune a decision model on your own data?

in these two notebooks, you’ll learn: • how to prepare the training data • how to fine-tune our d1-3B decision model • using @UnslothAI and @huggingface TRL

all within 30 minutes on a free-tier GPU.

unsloth:

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