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Show HN: TurboGPT: train 22KiB transformer in 13s
Summary
Show HN: TurboGPT: train 22KiB transformer in 13s Build Windows, Visual Studio 2022 C++ tools, and CUDA 13.4: .\build.ps1 - CudaArch 86 CudaArch is the GPU compute capability from NVIDIA's CUDA GPU list . 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.
Why it matters
This Other is relevant to the technology intelligence record because it involves NVIDIA, GPT-training, GPT-in. The source article should remain the factual reference for follow-up coverage.
Key facts
- Build Windows, Visual Studio 2022 C++ tools, and CUDA 13.4: .\build.ps1 - CudaArch 86 CudaArch is the GPU compute capability from NVIDIA's CUDA GPU list .
- 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 hn1g after 1.5G training tokens: 2.52435 BPB .
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