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Step-by-step guide for fine-tuning Qwen2.5-3B with LoRA on Vast.ai using the Axolotl toolkit. Covers GPU rental, training config, running training, inference testing, and cleanup.
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Add Axolotl Fine-Tuning Guide
Adds a new example guide: Fine-Tune LLMs with Axolotl (
examples/ai-ml-frameworks/axolotl-fine-tuning.mdx).What it covers
axolotl trainVerified end-to-end
Every command in the guide was run on a live Vast.ai instance (RTX 3090, US region). Training completed successfully (300 steps, ~43 min) and inference produced correct output.