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No. Llama 4 Scout 109B (MoE) does not fit on Mac Studio M4 Max (32c GPU) 36GB: Q4_K_M needs 69.7 GB and 27.0 GB is usable.
Hardware: Mac Studio M4 Max (32c GPU) 36GB · Model: Llama 4 Scout 109B (MoE)
Mac Studio M4 Max (32c GPU) 36GB has 36 GB of unified memory and 410 GB/s of memory bandwidth. M4 Max (32c GPU) 36GB has the same memory and bandwidth, so the fit numbers match; this page is Mac Studio M4 Max (32c GPU) 36GB. The checker leaves macOS a share of unified memory, so Ollama can use 27.0 GB. Llama 4 Scout 109B (MoE) (109B, 17B active, Meta) at Q4_K_M is a 67 GB download and needs 69.7 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 67 GB |
| Memory needed | 69.7 GB |
| Usable fast memory | 27.0 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run llama4:16x17b |
Smallest hardware that runs it: M2 Max (38c GPU) 96GB at Q4_K_M (fits in fast memory, 69.7 GB needed, 72.0 GB usable, about 15 tok/s (estimate)). Can a M2 Max (38c GPU) 96GB run Llama 4 Scout 109B (MoE)?
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 (32c GPU) 36GB run Llama 3.2 Vision 11B?
Open Mac Studio M4 Max (32c GPU) 36GB 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