A End-to-End Coding Guide to Running OpenAI GPT-OSS Open-Weight Models with Advanced Inference Workflows

A tutorial shows how to run OpenAI’s GPT-OSS-20B open-weight model in Google Colab using Transformers.

It covers setup steps like installing dependencies and checking CUDA support and available VRAM.

The guide loads the model with native MXFP4 quantization and explains how to run inference efficiently.

Examples include structured generation, streaming output, multi-turn chat, tool use, and batch processing.

The article highlights the appeal of inspectable local experimentation, with trade-offs in memory, control, and flexibility versus hosted APIs.