Nanbeige launches 3B Looped Transformer model, saying it boosts capacity without extra parameters
The open‑source model Nanbeige4.2‑3B adds a Looped Transformer layer that the team says improves agent performance while keeping the parameter count at three billion.
By Ryan Merket · Published
Primary source: X
Why it matters
If Nanbeige’s Looped Transformer delivers deeper reasoning without additional parameters, it could reshape how developers balance model size and performance, opening a path to more capable low‑footprint agents.
On July 22nd, 2026, the X account of Nanbeige announced the release of Nanbeige4.2‑3B, a three‑billion‑parameter language model that incorporates a new Looped Transformer architecture. The post, which included a link to the model’s Hugging Face repository, states that the Looped Transformer “increases model capacity without adding parameters, delivering a capable 3B agent.”…
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