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Teaching OpenAI’s GPT-OSS 20B Model Multilingual Reasoning Ability: A Hands-On Guide with RTX 4090
Latest   Machine Learning

Teaching OpenAI’s GPT-OSS 20B Model Multilingual Reasoning Ability: A Hands-On Guide with RTX 4090

Last Updated on August 28, 2025 by Editorial Team

Author(s): Lorentz Yeung

Originally published on Towards AI.

Teaching OpenAI’s GPT-OSS 20B Model Multilingual Reasoning Ability: A Hands-On Guide with RTX 4090

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Teaching OpenAI’s GPT-OSS 20B Model Multilingual Reasoning Ability: A Hands-On Guide with RTX 4090

This image showing a character who think and speak in different language. Photo generated by Sora.

This article guides readers through fine-tuning OpenAI’s GPT-OSS 20B model to enhance its multilingual reasoning capabilities, including setup instructions on an RTX 4090 rig using WSL2. It covers specific goals, code sources, and a detailed breakdown of the process, illustrating the importance of fine-tuning even for short runs to achieve impressive results. The tutorial emphasizes the advantages of a localized setup versus cloud alternatives, the applied methods in the training process, and concludes by encouraging readers to replicate the steps for customized AI applications.

Read the full blog for free on Medium.

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