Torchtune on AMD GPUs How-To Guide: Fine-tuning and Scaling LLMs with Multi-GPU Power — ROCm Blogs

[giscus[bot]]

Torchtune on AMD GPUs How-To Guide: Fine-tuning and Scaling LLMs with Multi-GPU Power — ROCm Blogs

Torchtune is a PyTorch library that enables efficient fine-tuning of LLMs. In this blog we use Torchtune to fine-tune the Llama-3.1-8B model for summarization tasks using LoRA and showcasing scalable training across multiple GPUs.

https://rocm.blogs.amd.com/artificial-intelligence/torchtune/README.html

[adnanali31531-lgtm]

Excellent deep-dive and very well structured guide. The step-by-step walkthrough of fine-tuning Llama-3.1 with LoRA on AMD GPUs makes distributed training feel far more approachable. It’s great to see clear evidence of multi-GPU scalability with Torchtune and ROCm—especially for real-world summarization tasks. A valuable resource for anyone working with LLMs on AMD hardware.

[hazelk500]

Great technical walkthrough—this guide does a solid job explaining how to scale LLM fine-tuning efficiently on AMD GPUs using Torchtune and LoRA. As a general reminder across tools and platforms, trust and source quality matter: for example, if someone ever looks into a Spotify mod APK for background music while working, they should only use trusted websites or stick with the official Spotify app to avoid security and reliability issues.

[hazelk500]

Scaling and fine-tuning models like this really shows how powerful modern tooling has become. On a lighter note, for anyone who enjoys experimenting outside AI too, sandbox games like Minecraft are a fun way to explore creativity—just make sure to download Minecraft APK only from trusted sources to keep your system safe while you tinker and build.