Experimental chat-tuned 6B MoE model with 1B active parameters for low-resource chat and instruction following
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arcee-ai/trinity-nano-previewWeights: Hugging Face ↗
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Experimental chat-tuned 6B MoE model with 1B active parameters for low-resource chat and instruction following. It is published by Arcee Ai and catalogued here from Models.dev.
Trinity Nano Preview accepts up to 131.072K tokens of context and returns up to 131.072K output tokens.
Yes. The weights are published and downloadable from Hugging Face under the OpenMDW-1.1 license.
The catalog records a release date of 2025-12-01, last verified Aug 17, 2026.
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