QwenQwen3.5-27B on Apple M1 (16GB Unified)
M1 (16GB Unified) runs Qwen3.5-27B at Q3_K_M — 5 tok/s due to limited memory bandwidth. Slow but functional — see all options below.
Model Size
27B
Device VRAM
16 GB
Bandwidth
68.25 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3.5-27B on Apple M1 (16GB Unified) at Q3_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 5 tok/s | – | ✓ Yes | Marginal | estimated |
Notes
Q3_K_M
Conservative estimate anchored to existing Apple Silicon results. Memory bandwidth and quantization size are the primary inference limiters.
About Qwen3.5-27B
Qwen3.5-27B (27B) is a chat, coding, ai coding, reasoning, multi-purpose model. Dense 27B from the Qwen 3.5 family. Native multimodal (text, image, video). 256K context window. Competitive with Gemma 3 27B and Qwen 3 32B at lower VRAM. Apache 2.0.
View all Qwen3.5-27B hardware options →About Apple M1 (16GB Unified)
Apple M1 (16GB Unified) has 16 GB at 68.25 GB/s. Available in MacBook Air 13" (2020), MacBook Pro 13" (2020).
See all models Apple M1 (16GB Unified) can run →Estimate method: Conservative estimate anchored to m4-16gb 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.