Unsloth and Hugging Face Jobs offer free credits for fast LLM fine-tuning
Unsloth and Hugging Face Jobs have partnered to provide free credits for fine-tuning language models, specifically LiquidAI/LFM2.5-1.2B-Instruct, with ~2x faster training and ~60% less VRAM usage. The Unsloth Jobs Explorers organization is giving away free credits and a one-month Pro subscription. Users can train models using the hf jobs CLI or through coding agents like Claude Code and Codex.
Developers can leverage Unsloth and Hugging Face Jobs for fast and cost-effective LLM fine-tuning, reducing training time and VRAM usage. This enables faster iteration and deployment of AI models. The provided training script and Hugging Face Jobs documentation facilitate the process.
Try fine-tuning a small language model like LFM2.5-1.2B-Instruct using Unsloth and Hugging Face Jobs, and evaluate the performance and cost savings.
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