MedQA: Fine-Tuning a Clinical AI on AMD ROCm — No CUDA Required
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MedQA: Fine-Tuning Clinical AI on AMD ROCm — No CUDA Required
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Back to Articles MedQA: Fine-Tuning Clinical AI on AMD ROCm — No CUDA Required Team Article Published May 8, 2026 Upvote - Harikrishna HK2184 Follow lablab-ai-amd-developer-hackathon A complete walkthrough of LoRA fine-tuning Qwen3-1.7B on MedMCQA using AMD MI300X, built for the AMD Developer Hackathon on lablab.ai.
The Idea Medical question answering is one of those tasks where the stakes are genuinely high. A model that confidently picks the wrong answer on a clinical MCQ isn't just wrong — it's dangerous. At the same time, most open-source medical AI work assumes you have an NVIDIA GPU. CUDA is the default. Everything else is an afterthought.
MedQA is LoRA fine-tuned clinical question-answering model built entirely on AMD hardware using ROCm. It takes a multiple-choice medical question and returns both the correct answer letter and a clinical explanation of the reasoning. The entire training pipeline — from data loading to adapter export — runs on an AMD Instinct MI300X without a single CUDA dependency.
Who and what
Key names and topics in this story: MedQA, Fine, Tuning, Clinical AI.
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