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Nanochat architecture and training choices

A February 1, 2026 publication lists architecture and optimization choices discussed for nanochat, offering topics for engineers to investigate.

Published on February 1, 2026, the note lists nanochat design choices: RoPE, parameter-free RMSNorm, squared ReLU, sliding-window attention, gated value embeddings, and learnable residual scalars. It also mentions optimization split between Muon and AdamW.

The material offers engineers a concise view of choices to investigate, but the available excerpt provides no comparative results or recommended configuration. Consult the original publication and discussion, and verify the context and details there before applying any technical decision.

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