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No. DeepSeek R1 Distill Llama 70B does not fit on Mac Studio M4 Max (32c GPU) 36GB: Q4_K_M needs 47.1 GB and 27.0 GB is usable.
Hardware: Mac Studio M4 Max (32c GPU) 36GB · Model: DeepSeek R1 Distill Llama 70B
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. DeepSeek R1 Distill Llama 70B (70.6B, DeepSeek) 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 | 27.0 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run deepseek-r1:70b |
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 DeepSeek R1 Distill Llama 70B?
A smaller DeepSeek model that fits this hardware: DeepSeek R1 Distill Qwen 32B at Q4_K_M (fits in fast memory, 22.2 GB). Can a Mac Studio M4 Max (32c GPU) 36GB run DeepSeek R1 Distill Qwen 32B?
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