Fine-tune OpenAI GPT-OSS models on Amazon SageMaker AI using Hugging Face libraries

OpenAI's GPT-OSS models are now available on AWS through SageMaker AI and Bedrock. These Mixture-of-Experts models activate a subset of parameters per token, offering high reasoning performance with reduced compute costs. They excel in coding, scientific analysis, and mathematical reasoning, featuring a 128,000 token context window. The article outlines a process for fine-tuning these models using Hugging Face libraries, demonstrating adaptation for multilingual reasoning through distributed training. By combining MXFP4 quantization, Parameter-Efficient Fine-Tuning methods like LoRA, and distributed training with Accelerate and DeepSpeed ZeRO-3, developers can efficiently customize these models while managing costs.