Guide to Fine-Tuning Qwen3.5 Large Language Models with Unsloth

Summary

This article is a technical guide from Unsloth documentation explaining how to fine-tune Qwen3.5 large language models using their platform. It covers support for various Qwen3.5 model sizes (0.8B to 122B parameters), including vision, text, and reinforcement learning fine-tuning. The guide mentions hardware requirements (74GB VRAM for Qwen3.5‑35B‑A3B), provides instructions for updating to newer versions, and introduces Unsloth Studio as an open-source web UI for local AI fine-tuning.