Can I run Llama 3.2?

Tiny Llamas for edge + on-device. Fast, light, 128K context.

chatgeneralagents · sizes: 1B, 3B · Llama 3.2 Community

What runs it

machinebest fitverdictspeed
Apple M1 · 8GB 1B Q8_0 ✅ Runs comfortably 25–45 tok/s
Apple M1 Pro · 16GB 3B Q8_0 ✅ Runs comfortably 25–45 tok/s
Apple M2 · 16GB 3B Q8_0 ✅ Runs comfortably 14–25 tok/s
Apple M3 Pro · 18GB 3B Q8_0 ✅ Runs comfortably 20–35 tok/s
Apple M2 Pro · 32GB 3B Q8_0 ✅ Runs comfortably 25–45 tok/s
Apple M4 Pro · 48GB 3B Q8_0 ✅ Runs comfortably 35–55 tok/s
Apple M3 Max · 36GB 3B Q8_0 ✅ Runs comfortably 45–70 tok/s
Apple M2 Max · 64GB 3B Q8_0 ✅ Runs comfortably 45–70 tok/s
Apple M4 Max · 128GB 3B Q8_0 ✅ Runs comfortably 55–90 tok/s
Apple M2 Ultra · 192GB 3B Q8_0 ✅ Runs comfortably 60–95 tok/s
NVIDIA GeForce RTX 3060 · 12GB VRAM 3B Q8_0 ✅ Runs comfortably 35–60 tok/s
NVIDIA GeForce RTX 4070 · 12GB VRAM 3B Q8_0 ✅ Runs comfortably 50–85 tok/s
NVIDIA GeForce RTX 4090 · 24GB VRAM 3B Q8_0 ✅ Runs comfortably 100–170 tok/s
NVIDIA GeForce RTX 5080 · 16GB VRAM 3B Q8_0 ✅ Runs comfortably 95–160 tok/s
NVIDIA GeForce RTX 5090 · 32GB VRAM 3B Q8_0 ✅ Runs comfortably 180–300 tok/s
AMD Radeon RX 7900 XTX · 24GB VRAM 3B Q8_0 ✅ Runs comfortably 90–150 tok/s

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

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

Architectural kin

19 models share Llama 3.2'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 →