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No. Mixtral 8x7B (MoE) does not fit on Mac Studio M5 Max (32c GPU) 36GB: Q4_K_M needs 29.8 GB and 27.0 GB is usable.
Hardware: Mac Studio M5 Max (32c GPU) 36GB · Model: Mixtral 8x7B (MoE)
Mac Studio M5 Max (32c GPU) 36GB has 36 GB of unified memory and 460 GB/s of memory bandwidth. The checker leaves macOS a share of unified memory, so Ollama can use 27.0 GB. Mixtral 8x7B (MoE) (46.7B, 12.9B active, Mistral) at Q4_K_M is a 28 GB download and needs 29.8 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 28 GB |
| Memory needed | 29.8 GB |
| Usable fast memory | 27.0 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run mixtral:8x7b-instruct-v0.1-q4_K_M |
Smallest hardware that runs it: RTX 3090 24GB at Q4_K_M (partial offload (slower), 29.8 GB needed, 23.5 GB usable, about 10 tok/s (estimate)). Can a RTX 3090 24GB run Mixtral 8x7B (MoE)?
A smaller Mistral model that fits this hardware: Devstral Small 2 24B at Q4_K_M (fits in fast memory, 16.8 GB). Can a Mac Studio M5 Max (32c GPU) 36GB run Devstral Small 2 24B?
Open Mac Studio M5 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