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Yes. Llama 3.2 Vision 11B fits in fast memory on M3 Pro 18GB at Q4_K_M (9.3 GB needed, 12.1 GB usable), about 15 tok/s (estimate).
Hardware: M3 Pro 18GB · Model: Llama 3.2 Vision 11B
M3 Pro 18GB has 18 GB of unified memory and 150 GB/s of memory bandwidth. The checker leaves macOS a share of unified memory, so Ollama can use 12.1 GB. Llama 3.2 Vision 11B (10.7B, Meta) at Q4_K_M is a 7.8 GB download and needs 9.3 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 7.8 GB |
| Memory needed | 9.3 GB |
| Usable fast memory | 12.1 GB |
| Fit | fits in fast memory |
| Estimated speed | ~15 tok/s (estimate) |
| Command | ollama run llama3.2-vision:11b |
Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-23.
A project by OnDevice Labs · llms.txt