Trinity Mini
Arcee AI's 26B sparse MoE with 3B active params per token. Fully post-trained reasoning model for web apps and agentic tasks. Apache 2.0.
Specifications
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Quantization Estimates
| Format | VRAM Need | Tier |
|---|---|---|
| FP16 | 52.0 GB | Full Precision |
| Q8_0 | 26.0 GB | High |
| Q6_K | 22.1 GB | Excellent |
| Q5_K_M | 18.2 GB | Great |
| Q4_K_M | 13.0 GB | Sweet Spot |
| Q2_K | 7.8 GB | Emergency |
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