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nanochat-d12

A small, open-weight chat-oriented language model (~124M parameters) published under the nanochat project, built on a minimal end-to-end training stack covering pretraining on FineWeb-EDU through chat SFT. Designed for reproducibility and hackability on a single GPU node rather than frontier-scale performance. Source: supabase.

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