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A tutorial implements an end-to-end supervised fine-tuning pipeline for the XYZ-Aquila-SFT dataset using Hugging Face Transformers, PyTorch, and PEFT. It converts tool schemas, renders Qwen-compatible ChatML with assistant-only loss masking, and fine-tunes Qwen3-0.6B with LoRA.
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