nanoGPT — Train and Fine-tune Mid-sized GPTs

nanoGPT is a streamlined repository for training and fine-tuning medium-sized GPT models for AI engineers

nanoGPT is a repository designed for the efficient training and fine-tuning of medium-sized Generative Pre-trained Transformers (GPTs). It is specifically built for technical founders and AI engineers who need a clean, readable, and highly performant implementation of the GPT-2/3 architecture. By focusing on simplicity, the tool allows teams to experiment with large language models without the overhead of massive, complex frameworks. The repository includes scripts for pre-training models on datasets like OpenWebText and fine-tuning them for specific business tasks or conversational styles. Business owners can use nanoGPT to develop proprietary internal models that process sensitive company data locally or within secure cloud environments. The codebase is optimized to run efficiently on single or multiple GPUs, making it a cost-effective choice for startups that do not have enterprise-scale compute budgets. Integrating custom AI capabilities becomes more predictable with this streamlined approach to model architecture. You can find more developer-centric resources and similar technologies on surfai.app to help scale your infrastructure in 2026. This repo is particularly useful for building domain-specific chatbots or automated content generators tailored to a niche industry. nanoGPT is available as open-source software via GitHub, making it free to use for any commercial or research project. While the software itself is free, costs will vary based on your choice of cloud GPU provider for the training compute.

• Pricing: free

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