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Yes. DeepSeek R1 Distill Qwen 32B fits in fast memory on Mac Studio M5 Ultra (80c GPU) 96GB at Q8_0 (37.2 GB needed, 72.0 GB usable), about 27 tok/s (estimate).
Hardware: Mac Studio M5 Ultra (80c GPU) 96GB · Model: DeepSeek R1 Distill Qwen 32B
Mac Studio M5 Ultra (80c GPU) 96GB has 96 GB of unified memory and 1200 GB/s of memory bandwidth. Mac Studio M5 Ultra (64c GPU) 96GB has the same memory and bandwidth, so the fit numbers match; this page is Mac Studio M5 Ultra (80c GPU) 96GB. The checker leaves macOS a share of unified memory, so Ollama can use 72.0 GB. DeepSeek R1 Distill Qwen 32B (32.8B, DeepSeek) at Q8_0 is a 35 GB download and needs 37.2 GB with headroom for about 8k tokens.
| Best quant | Q8_0 |
|---|---|
| Download size | 35 GB |
| Memory needed | 37.2 GB |
| Usable fast memory | 72.0 GB |
| Fit | fits in fast memory |
| Estimated speed | ~27 tok/s (estimate) |
| Command | ollama run deepseek-r1:32b-qwen-distill-q8_0 |
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.
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