/ albert.
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albert. is a 134M-parameter ternary MoE model currently learning 8 languages from scratch. Outputs reflect genuine model state — not a fine-tuned assistant.

albert.
A dual-stream ternary MoE learning 8 languages from scratch. Talk to it. Watch it grow.
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Research stage. albert. is in active training — output may be incoherent or surprising. That is expected and honest. albert. is not yet fluent in language selection: it activates domain-correct knowledge across multiple language channels simultaneously, producing multilingual token streams. Translations are a best-effort interpretation of that output. Come back as training progresses.
how it works