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

MarkTechPostAugust 15, 2026en

MarkTechPost

AI Global Wire

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. The post Fine-Tuning Tool-Calling LLMs: A Complete Guide Using XYZ-Aquila-SFT and Qwen3 appeared first on MarkTechPost .

This is a short summary published by AI Global Wire. The full article is owned and hosted by MarkTechPost — open it there to read it in full.

• Verktyg