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Trinity Nano

Model family: Trinity
Trinity Nano Base is the raw 6B-parameter, 1B-active MoE backbone for Trinity Nano. Trained on roughly 10T tokens (with extra math and code) using large H200 clusters, it is released as a pre–fine-tune checkpoint, so it is not intended as a drop-in chat model. Instead, Arcee positions it for continued training and domain adaptation, with GGUF and other quantized variants available for custom pipelines under the Apache-2.0 license.
New Text Gen 7
Released: December 1, 2025

Overview

Trinity Nano Base is the base 6B (1B active) Trinity Nano checkpoint, pre–fine-tuning, meant to be domain-tuned rather than used directly for chatting, trained on about 10T tokens under Apache-2.0.

About Arcee AI

Location: Palo Alto, CA, US
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Tools using Trinity Nano

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Last updated: February 3, 2026
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