Can I run Qwen2.5-Coder?

Best open coding model class. The 32B rivals proprietary coders; 7B/14B fit most rigs.

codingagents · sizes: 1.5B, 7B, 14B, 32B · Apache-2.0

What runs it

machinebest fitverdictspeed
Apple M1 · 8GB 1.5B Q8_0 ✅ Runs comfortably 25–40 tok/s
Apple M1 Pro · 16GB 7B Q6_K ✅ Runs (tight) 16–25 tok/s
Apple M2 · 16GB 7B Q6_K ✅ Runs (tight) 9–15 tok/s
Apple M3 Pro · 18GB 14B Q3_K_M ✅ Runs (tight) 9–16 tok/s
Apple M2 Pro · 32GB 32B Q3_K_M ✅ Runs (tight) 6–10 tok/s
Apple M4 Pro · 48GB 32B Q5_K_M ✅ Runs comfortably 6–10 tok/s
Apple M3 Max · 36GB 32B Q3_K_M ✅ Runs (tight) 10–17 tok/s
Apple M2 Max · 64GB 32B Q8_0 ✅ Runs (tight) 5–8 tok/s
Apple M4 Max · 128GB 32B Q8_0 ✅ Runs comfortably 6–11 tok/s
Apple M2 Ultra · 192GB 32B Q8_0 ✅ Runs comfortably 7–11 tok/s
NVIDIA GeForce RTX 3060 · 12GB VRAM 14B Q4_K_M ✅ Runs (tight) 14–25 tok/s
NVIDIA GeForce RTX 4070 · 12GB VRAM 14B Q4_K_M ✅ Runs (tight) 20–35 tok/s
NVIDIA GeForce RTX 4090 · 24GB VRAM 32B Q4_K_M ✅ Runs (tight) 19–30 tok/s
NVIDIA GeForce RTX 5080 · 16GB VRAM 14B Q5_K_M ✅ Runs (tight) 35–55 tok/s
NVIDIA GeForce RTX 5090 · 32GB VRAM 32B Q5_K_M ✅ Runs (tight) 30–50 tok/s
AMD Radeon RX 7900 XTX · 24GB VRAM 32B Q4_K_M ✅ Runs (tight) 17–30 tok/s

Shopping for a machine? What hardware do I need to run Qwen2.5-Coder? →

Check your exact rig: open the checker →

$npx runlocal-sh can-i-run qwen2.5-coder

Architectural kin

23 models share Qwen2.5-Coder's KV-cache geometry — they size memory the same way, so a rig that fits one tends to fit its same-size kin.

…and 11 more.

Explore the whole catalog by architecture: open the graph →