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Endigest AI Core Summary
This post explains how to fine-tune small LLMs for free using Unsloth and Hugging Face Jobs, with support for coding agents like Claude Code and Codex.
•Unsloth provides ~2x faster training and ~60% less VRAM usage compared to standard fine-tuning methods
•LiquidAI/LFM2.5-1.2B-Instruct is the target model, running under 1GB memory and optimized for on-device deployment on CPUs, phones, and laptops
•Free credits are available by joining the Unsloth Jobs Explorers organization on Hugging Face
•Training is submitted via the hf jobs CLI with a single command specifying model, dataset, GPU flavor, and output repo
•A installable skill for Claude Code and Codex automates script generation, job submission, and monitoring via Trackio
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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