🚀 Achieve rapid training of NanoGPT (GPT-2 124M) on a single RTX 4090, targeting a validation loss below 3.28 with FineWeb-Edu data.
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Updated
Jun 14, 2026 - Python
🚀 Achieve rapid training of NanoGPT (GPT-2 124M) on a single RTX 4090, targeting a validation loss below 3.28 with FineWeb-Edu data.
Viking Engine: High-performance LoRA training engine for consumer hardware. Server-class speed, universal model support, optimized for RTX 4090.
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