QwenQwen 2.5 Coder 32B Instruct on Apple M2 Pro (16GB Unified)
M2 Pro (16GB Unified) cannot run Qwen 2.5 Coder 32B Instruct. 16 GB VRAM is insufficient at any quantization level.
Model Size
32.5B
Device VRAM
16 GB
Bandwidth
200 GB/s
Quantization
Q4_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen 2.5 Coder 32B Instruct on Apple M2 Pro (16GB Unified) at Q4_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | – | – | ✗ Offload | Not viable | estimated |
Notes
Q4_K_M
Model exceeds m2-pro-16gb effective VRAM capacity.
About Qwen 2.5 Coder 32B Instruct
Qwen 2.5 Coder 32B Instruct (32.5B) is a coding, ai coding, ai building model. The coding model that defines the builder workflow. Matches GPT-4 on HumanEval. This is what Cursor and Continue.dev users run locally when they want to eliminate API dependency. Apache 2.0 license. The cornerstone of the 'Full AI Builder' profile.
View all Qwen 2.5 Coder 32B Instruct hardware options →About Apple M2 Pro (16GB Unified)
Apple M2 Pro (16GB Unified) has 16 GB at 200 GB/s. Available in MacBook Pro 14" (2023), MacBook Pro 16" (2023).
See all models Apple M2 Pro (16GB Unified) can run →Estimate method: Estimated: model exceeds m2-pro-16gb VRAM capacity. Reference hardware source: github.com (2026-04-18)
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.