
Arcee Trinity Mini 26B on NVIDIA GeForce RTX 3090
Yes — RTX 3090 runs Arcee Trinity Mini 26B excellently at Q5_K_M — 58 tok/s. 24 GB VRAM with plenty of headroom.
Model Size
26B
Device VRAM
24 GB
Bandwidth
936 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Arcee Trinity Mini 26B on NVIDIA GeForce RTX 3090 at Q5_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q5_K_M | 58 tok/s | 80ms | ✓ Yes | Excellent | estimated |
Notes
Q5_K_M
26B MoE (3B active). Q5_K_M 20GB on 24GB discrete gpu.
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 NVIDIA GeForce RTX 3090
NVIDIA GeForce RTX 3090 has 24 GB at 936 GB/s. Street price: $899.
See all models NVIDIA GeForce RTX 3090 can run →Builds with NVIDIA GeForce RTX 3090
Extreme AI Workstation
Dual GPUs that run the biggest AI models at a smart price
Runs 8 models
High-End Home AI Server
Your household's private AI: chatbots, code tools, and more
Runs 12 models
Mid-Range Home AI Server
Serve multiple AI models to every device at home
Runs 9 models
Estimate method: Estimated from MoE architecture (active params per token), quantization size, and device bandwidth. 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.