Can I run Llama 3.2 Vision?

Multimodal Llama — image understanding plus chat. 11B fits a 16GB+ Mac.

visionchat · sizes: 11B · Llama 3.2 Community

What runs it

machinebest fitverdictspeed
Apple M1 · 8GB 11B Q4_K_M ❌ Won't fit
Apple M1 Pro · 16GB 11B Q4_K_M ✅ Runs (tight) 14–25 tok/s
Apple M2 · 16GB 11B Q4_K_M ✅ Runs (tight) 8–13 tok/s
Apple M3 Pro · 18GB 11B Q4_K_M ✅ Runs (tight) 11–18 tok/s
Apple M2 Pro · 32GB 11B Q8_0 ✅ Runs comfortably 9–15 tok/s
Apple M4 Pro · 48GB 11B Q8_0 ✅ Runs comfortably 11–19 tok/s
Apple M3 Max · 36GB 11B Q8_0 ✅ Runs comfortably 15–25 tok/s
Apple M2 Max · 64GB 11B Q8_0 ✅ Runs comfortably 15–25 tok/s
Apple M4 Max · 128GB 11B Q8_0 ✅ Runs comfortably 19–30 tok/s
Apple M2 Ultra · 192GB 11B Q8_0 ✅ Runs comfortably 20–35 tok/s
NVIDIA GeForce RTX 3060 · 12GB VRAM 11B Q4_K_M ✅ Runs comfortably 20–35 tok/s
NVIDIA GeForce RTX 4070 · 12GB VRAM 11B Q4_K_M ✅ Runs comfortably 30–45 tok/s
NVIDIA GeForce RTX 4090 · 24GB VRAM 11B Q8_0 ✅ Runs comfortably 35–60 tok/s
NVIDIA GeForce RTX 5080 · 16GB VRAM 11B Q8_0 ✅ Runs (tight) 30–50 tok/s
NVIDIA GeForce RTX 5090 · 32GB VRAM 11B Q8_0 ✅ Runs comfortably 60–100 tok/s
AMD Radeon RX 7900 XTX · 24GB VRAM 11B Q8_0 ✅ Runs comfortably 30–50 tok/s

Shopping for a machine? What hardware do I need to run Llama 3.2 Vision? →

Check your exact rig: open the checker →

$npx runlocal-sh can-i-run llama-3.2-vision

Architectural kin

19 models share Llama 3.2 Vision's KV-cache geometry — they size memory the same way, so a rig that fits one tends to fit its same-size kin.

…and 7 more.

Explore the whole catalog by architecture: open the graph →