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Story

Notebooks released for fine-tuning the d1-3B decision model

AI summary

A post reposted by UnslothAI on X points to two notebooks in the Liquid4All cookbook for fine-tuning the d1-3B decision model on your own data, one built on Unsloth and one on Hugging Face TRL. The post says the notebooks cover preparing training data and the fine-tuning workflow, and claims the process fits in 30 minutes on a free-tier GPU. The time and ease claims come from the post and have not been independently verified.

In-depth insight

It offers developers a ready-made, low-cost starting point for fine-tuning a small decision model on their own data.

d1-3BLiquid4AllUnsloth

Original · 1 min readRead the original
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