Fine-Tuning Tool-Calling LLMs: A Complete Guide Using XYZ-Aquila-SFT and Qwen3

Summary

<p>Implement an end-to-end fine-tuning pipeline for tool-calling language models. This tutorial covers parsing trajectories, structured tool-call extraction, Qwen-compatible ChatML rendering, and efficient LoRA adaptation using PyTorch.</p> <p>The post <a href="https://www.marktechpost.com/2026/08/15/fine-tuning-tool-calling-llms-a-complete-guide-using-xyz-aquila-sft-and-qwen3/">Fine-Tuning Tool-Calling LLMs: A Complete Guide Using XYZ-Aquila-SFT and Qwen3</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>