Arcee Trinity Mini 26B on Apple M4 (16GB Unified)
M4 (16GB Unified) cannot run Arcee Trinity Mini 26B. 16 GB VRAM is insufficient at any quantization level.
Model Size
26B
Device VRAM
16 GB
Bandwidth
120 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Arcee Trinity Mini 26B on Apple M4 (16GB Unified) at Q3_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 8 tok/s | 1500ms | ✗ Offload | Not viable | estimated |
Notes
Q3_K_M
26B MoE (3B active). Q3_K_M 13GB on 16GB apple silicon.
About Arcee Trinity Mini 26B
Arcee Trinity Mini 26B (26B) is a chat, coding, ai coding, reasoning, multi-purpose model. Arcee AI's mid-range Mixture-of-Experts reasoning model. 26B total parameters with only 3B active per token (128 experts, 8 selected + 1 shared). Trained on 10 trillion tokens via Datology partnership. Handles math, code, and agentic tasks well; fits at Q4_K_M on a 24 GB GPU. The most practical Trinity variant for consumer hardware. US-built, Apache 2.0 licensed.
View all Arcee Trinity Mini 26B hardware options →About Apple M4 (16GB Unified)
Apple M4 (16GB Unified) has 16 GB at 120 GB/s. Available in Mac Mini, MacBook Pro 14", MacBook Air 13", MacBook Air 15", iPad Pro.
See all models Apple M4 (16GB Unified) can run →Estimate method: Q3_K_M requires 13GB VRAM but M4 16GB has only ~12.8GB usable after macOS overhead. Requires offloading.. Reference hardware source: huggingface.co (2026-03-14)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.