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MIT. Build (TurboGPT.html#build) Linux/NixOS: nix-build -o build/nix-result Windows, Visual Studio 2022 C++ tools, and CUDA 13.4: .\build.ps1 - CudaArch 86 CudaArch is the GPU compute capability from (https://developer.nvidia.com/cuda-gpus) NVIDIA's CUDA GPU list . Run (TurboGPT.html#run) .\build\turbogpt.exe -- data hn1g.txt -- log- to runs/ ctx4 The run stores its checkpoint at runs/ctx4/ctx4.pt , containing model, optimizer, scheduler, and trainer state. Use --load CHECKPOINT.pt to resume it. runs/ctx4/report.json is derived from the log directory. Logs are TensorBoard-compatible: one report per batch, capped at 8Mi reports, and flushed with periodic or final checkpoints. Result (TurboGPT.html#result) hn1g after 1.5G training tokens: 2.5295 BPB . Tests (TurboGPT.html#tests) python tests\verify.py About Train a tiny GPT in under a minute (CUDA only) Resources (TurboGPT.html#readme-ov-file) Readme (TurboGPT.html#MIT-1-ov-file) MIT license (https://github.com/lostmsu/TurboGPT/activity) Activity Stars 9 stars Watchers 0 watching Forks (https://github.com/lostmsu/TurboGPT/forks) 0 forks (https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Flostmsu%2FTurboGPT&report=lostmsu+%28user%29) Report repository Releases Packages Contributors Languages Footer (https://github.com) © 2026 GitHub, Inc. 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