Trinity Nano Preview
Trinity Nano Preview is a distinct size tier in Arcee AI’s Trinity family of sparse language models trained from scratch. It combines a larger total weight capacity with relatively few active parameters per token. Nano is an experimental chat checkpoint whose aggressive sparsity can produce unstable behavior. Downloadable weights and deployment examples support private inference and customization. The current model card specifies OpenMDW-1.1; deployment rights should follow that release license.
2025-12-01
6B total, 1B active
Sparse Mixture-of-Experts Transformer
OpenMDW-1.1
Specifications
- Parameters
- 6B total, 1B active
- Architecture
- Sparse Mixture-of-Experts Transformer
- License
- OpenMDW-1.1
- Context Window
- 131,072 tokens
- Type
- text
- Modalities
- text
Benchmark Scores
Advanced Specifications
- Model Family
- Trinity
- API Access
- Not Available
- Chat Interface
- Not Available
- Variants
- Trinity-Nano-PreviewTrinity-Nano-Base
Capabilities & Limitations
- Capabilities
- chat generationsparse inferencelocal experimentation
- Known Limitations
- Full weight storage exceeds the active parameter countPreview checkpoints can be unstableCurrent license differs from early Apache descriptions
- Notable Use Cases
- local assistantsprivate customizationsparse-model research