Fine-tune your own model for free: Claude Code writes the code, Kaggle T4s do the training
ojasvi_yadav · x · 2026-09-21
NandhaKishorM shared a near-zero-cost fine-tuning playbook: instead of writing training code yourself, use an agentic harness like Claude Code or Codex to modify the fine-tuning notebook in the laya repo (7.2k stars), then train on free Kaggle GPUs.
- The example notebook layafinetunetypeddecisions2xT4kaggle.ipynb targets Kaggle's dual T4 setup.
- The author argues base models have real limitations for specific use cases and encourages everyone to fine-tune on their own data.
- The combination of agentic coding tools plus free Kaggle GPUs effectively removes the cost barrier for personal fine-tuning.
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