As a large model with 117B parameters, gpt-oss-120b requires a high-performance GPU with 80GB video memory such as NVIDIA H100 to run effectively. To enhance hardware utilization, the warehouse specially provides MXFP4 quantization support and Triton kernel installation guide, which can increase computing efficiency by more than 30%. In contrast, the 21B-parameter gpt-oss-20b can run on consumer-grade hardware with only 16GB of RAM, which is suitable for individual developers or edge computing scenarios. Both models have corresponding device mapping auto-configuration features in the repository.
This answer comes from the articleCollection of scripts and tutorials for fine-tuning OpenAI GPT OSS modelsThe
May not be reproduced without permission:AI productivity tools " The gpt-oss-120b model requires high-performance hardware support such as H100 GPUs
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