Fine-Tuning Qwen3 with LoRA Using NVIDIA NeMo AutoModel: A Complete Single-GPU Google Colab Workflow Tutorial

Short summary

This tutorial walks through fine-tuning Qwen3-0.6B with LoRA using NVIDIA NeMo AutoModel on a single GPU in Google Colab. It covers CUDA verification, NeMo installation from source, loading an official LoRA recipe, adjusting precision and scheduler settings for constrained runtimes, and comparing base versus fine-tuned outputs. The workflow concludes with using the NeMoAutoModelForCausalLM Python API for programmatic access.

• •Fine-tune Qwen3-0.6B with LoRA via NeMo AutoModel CLI on a single Colab GPU
• •Adjust precision, batch size, checkpointing, and scheduler for constrained runtimes
• •Compare base vs fine-tuned outputs and use the Python API for further control

Generated with AI, which can make mistakes.