Trinity Mini by arcee-ai — 26.12B open-weight local LLM. License: other. Benchmarks, VRAM requirements per quantization, GPU compatibility, pricing and community reviews on robotanalyze.com.
Key specs
| Type | Local open-weight |
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| Parameters | 26.12B total · MoE, — active |
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| Architecture | afmoe |
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| Context window | 131K tokens |
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| Knowledge cutoff | — |
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| Modalities | text |
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| Recommended backends | — |
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| Minimum viable rig | — |
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Benchmark scores
| GPQA Diamond | — |
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| SWE-bench Verified | — |
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| AIME | — |
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| MMLU-Pro | — |
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| BFCL v3 (tool use) | — |
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| Composite score | — |
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| Community rating | No reviews yet |
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VRAM & disk per quantization
| Quant | VRAM | Disk | RAM | Context |
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| Q4_K_M | 16.6 GB | 15.1 GB | — | 131K |