QwenQwen 2.5 Coder 7B Instruct on Apple M2 Pro (16GB Unified)
Yes — M2 Pro (16GB Unified) handles Qwen 2.5 Coder 7B Instruct well at Q5_K_M — 14 tok/s. Solid daily-driver performance on 16 GB VRAM.
Model Size
7.62B
Device VRAM
16 GB
Bandwidth
200 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen 2.5 Coder 7B Instruct on Apple M2 Pro (16GB Unified) 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 | 14 tok/s | – | ✓ Yes | Good | estimated |
Notes
Q5_K_M
Conservative estimate anchored to existing Apple Silicon results. Memory bandwidth and quantization size are the primary inference limiters.
About Qwen 2.5 Coder 7B Instruct
Qwen 2.5 Coder 7B Instruct (7.62B) is a coding, ai coding model. Specialized coding model optimized for AI-assisted development.
View all Qwen 2.5 Coder 7B 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: Conservative estimate anchored to m3-pro-18gb with bandwidth scaling, quantization-size adjustment, and generation damping. 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.