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Fine-Tuning Llama 3 on a Custom Dataset (Google Colab Guide)

Neon Innovation Lab

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Neon Innovation Lab

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Feb 10, 2026

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5 min read

Fine-Tuning Llama 3 on a Custom Dataset (Google Colab Guide)

Fine-Tuning Llama 3 on a Custom Dataset (Google Colab Guide)

Base models are boring. Fine-tuned models are valuable.

The Format

Your data must look like this: {"instruction": "Explain quantum physics", "output": "It's like magic but with math."}

The Tool: Unsloth

We use Unsloth because it makes fine-tuning 2x faster and uses 50% less VRAM. You can fit Llama-3-8B on a Colab T4 GPU.

Testing

Once you have your adapter.safetensors, don't just trust the loss curve. Load it into AI Playground and verify the output qualitative quality.

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