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No. Llama 3.3 70B does not fit on Mac Studio M4 Max (40c GPU) 48GB: Q4_K_M needs 47.1 GB and 36.0 GB is usable.
Hardware: Mac Studio M4 Max (40c GPU) 48GB · Model: Llama 3.3 70B
Mac Studio M4 Max (40c GPU) 48GB has 48 GB of unified memory and 546 GB/s of memory bandwidth. M4 Max (40c GPU) 48GB has the same memory and bandwidth, so the fit numbers match; this page is Mac Studio M4 Max (40c GPU) 48GB. The checker leaves macOS a share of unified memory, so Ollama can use 36.0 GB. Llama 3.3 70B (70.6B, Meta) at Q4_K_M is a 43 GB download and needs 47.1 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 43 GB |
| Memory needed | 47.1 GB |
| Usable fast memory | 36.0 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run llama3.3:70b |
Smallest hardware that runs it: M1 Max (32c GPU) 64GB at Q4_K_M (fits in fast memory, 47.1 GB needed, 48.0 GB usable, about 7 tok/s (estimate)). Can a M1 Max (32c GPU) 64GB run Llama 3.3 70B?
A smaller Meta model that fits this hardware: Llama 3.2 Vision 11B at Q8_0 (fits in fast memory, 13.5 GB). Can a Mac Studio M4 Max (40c GPU) 48GB run Llama 3.2 Vision 11B?
Open Mac Studio M4 Max (40c GPU) 48GB in the checkerEstimates, 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