Why a small model? Small language models like LFM2.5-1.2B-Instruct are ideal candidates for fine-tuning. They are cheap to train, fast to iterate on, and increasingly competitive with much larger models on focused tasks. LFM2.5-1.2B-Instruct runs under 1GB of memory and is optimized for on-device deployment, so what you fine-tune can be served on CPUs, phones, and laptops.

We are giving away free credits to fine-tune models on Hugging Face Jobs. Join the Unsloth Jobs Explorers organization to claim your free credits and one-month Pro subscription.

If you want to train a model using HF Jobs and Unsloth, you can simply use the hf jobs CLI to submit a job.

First, you need to install the hf CLI. You can do this by running the following command:

Check out the training script and Hugging Face Jobs documentation for more details.

Hugging Face model training skill lowers barrier of entry to train a model by simply prompting. First, install the skill with your coding agent.

Claude Code discovers skills through its plugin system, so we need to install the Hugging Face skills first. To do so:

For more details, see the documentation on using the hub with skills or the Claude Code Skills docs.

For more details, see the Codex Skills docs and the AGENTS.md guide.

A generic install method is simply to clone the skills repository and copy the skill to your agent's skills directory.

Once the skill is installed, ask your coding agent to train a model:

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