text model · Llama 3.2 Vision · macOS
Can I run Llama 3.2 Vision 11B on Apple M1 (8GB)?
No. Llama 3.2 Vision 11B needs ~9 GB even at Q4_K_M, but Apple M1 (8GB) only has ~5.5 GB usable.
Needs ~9 GB even at Q4_K_M, but only ~5.5 GB is usable.
- Q4_K_M needed
- ~9 GB
- Usable on device
- ~5.5 GB
- Device memory
- 8 GB
- Parameters
- 10.7B
- Q4_K_M size
- 7.36 GB
- Q8_0 size
- 11.49 GB
- Context
- 128k
- Ollama tag
- llama3.2-vision:11b
- Memory
- 8 GB unified
- Usable for weights
- ~5.5 GB
- Best runtime
- Ollama (llama.cpp Metal backend)
What you can run instead
Run Llama 3.2 Vision 11B on other hardware
FAQ
Can Apple M1 (8GB) run Llama 3.2 Vision 11B?
No. Llama 3.2 Vision 11B needs ~9 GB even at Q4_K_M, but Apple M1 (8GB) only has ~5.5 GB usable.
How much memory does Llama 3.2 Vision 11B need?
Apple M1 (8GB) does not have enough memory. At Q4_K_M the weights are ~7.36 GB; with KV cache and runtime overhead, budget ~9 GB at a 4k context.
What is the best tool to run Llama 3.2 Vision 11B on macOS?
LM Studio for a simple setup; mlx-lm for the most speed. vLLM is NOT a Mac tool, it is a CUDA/Linux serving engine. Unified memory is not a fixed VRAM slice; ~70% is usable for weights.
Sources
Memory figures are estimates. See methodology.