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How to Fine-Tune LLMs on AMD Strix Halo

A comprehensive guide on fine-tuning large language models on AMD Strix Halo APUs, covering full SFT and LoRA with workarounds for ROCm compatibility issues.

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How to Fine-Tune LLMs on AMD Strix Halo
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • Strix Halo's unified memory allows fitting large models easily.
  • Swift and Unsloth are incompatible; use HuggingFace Trainer directly.
  • Environment setup requires specific ROCm nightly builds and removal of torchao/bitsandbytes.
  • Full SFT and LoRA scripts provided with train-on-responses-only logic.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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