QwenQwen3.5-122B-A10B on Apple M2 (8GB Unified)
M2 (8GB Unified) cannot run Qwen3.5-122B-A10B. 8 GB VRAM is insufficient at any quantization level.
Model Size
122B
Device VRAM
8 GB
Bandwidth
100 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3.5-122B-A10B on Apple M2 (8GB Unified) at Q3_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | – | – | ✗ Offload | Not viable | estimated |
Notes
Q3_K_M
Smallest quantization requires more than the ~5.5GB available on this 8GB Mac.
About Qwen3.5-122B-A10B
Qwen3.5-122B-A10B (122B) is a chat, coding, ai coding, reasoning, multi-purpose model. Mixture-of-Experts with 122B total parameters but only 10B active per token. Runs on far less VRAM than the total size suggests. Qwen's best open-weight MoE in the medium tier; excels at knowledge-heavy and vision tasks. Native multimodal. Apache 2.0 licensed.
View all Qwen3.5-122B-A10B hardware options →About Apple M2 (8GB Unified)
Apple M2 (8GB Unified) has 8 GB at 100 GB/s. Available in MacBook Air 13" (2022), MacBook Air 15" (2023), MacBook Pro 13" (2022).
See all models Apple M2 (8GB Unified) can run →Estimate method: Estimated: model exceeds 8GB Mac usable VRAM. 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.