KellerJordan/modded-nanogpt — NanoGPT (124M) in 90 seconds

Description and use

KellerJordan’s **modded‑nanogpt** is a lightweight fork of the NanoGPT repository that streamlines the training and inference of the 124‑million‑parameter GPT model, enabling users to get a functional language model up and running in roughly 90 seconds. The project bundles pre‑configured scripts, optimized hyper‑parameters, and a concise setup guide so that developers can quickly experiment with text generation without the overhead of a full‑scale training pipeline. It’s positioned as a miscellaneous utility for rapid prototyping and educational demos.

Problem

KellerJordan/modded-nanogpt may be useful when its README and activity match a concrete workflow.

Outcome

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.

Evidence

NanoGPT (124M) in 90 seconds

Source