MetaLlama 3.2 11B Vision on Apple M2 (8GB Unified)
M2 (8GB Unified) cannot run Llama 3.2 11B Vision. 8 GB VRAM is insufficient at any quantization level.
Model Size
11B
Device VRAM
8 GB
Bandwidth
100 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 3.2 11B Vision on Apple M2 (8GB Unified) at Q8_0. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | – | – | ✗ Offload | Not viable | estimated |
Notes
Q8_0
Smallest quantization requires more than the ~5.5GB available on this 8GB Mac.
About Llama 3.2 11B Vision
Llama 3.2 11B Vision (11B) is a chat, reasoning, multi-purpose model. Meta's first multimodal Llama model. Handles both text and image inputs. At 11B parameters, fits comfortably on 16GB GPUs at Q4. Vision capabilities are useful for image understanding tasks but text quality is comparable to Llama 3.1 8B, not 70B.
View all Llama 3.2 11B Vision 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.