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Yes. DeepSeek R1 Distill Qwen 1.5B fits in fast memory on M4 Max (40c GPU) 128GB at Q8_0 (2.6 GB needed, 96.0 GB usable), about 230 tok/s (estimate).
Hardware: M4 Max (40c GPU) 128GB · Model: DeepSeek R1 Distill Qwen 1.5B
M4 Max (40c GPU) 128GB has 128 GB of unified memory and 546 GB/s of memory bandwidth. Mac Studio M4 Max (40c GPU) 128GB has the same memory and bandwidth, so the fit numbers match; this page is M4 Max (40c GPU) 128GB. The checker leaves macOS a share of unified memory, so Ollama can use 96.0 GB. DeepSeek R1 Distill Qwen 1.5B (1.78B, DeepSeek) at Q8_0 is a 1.9 GB download and needs 2.6 GB with headroom for about 8k tokens.
| Best quant | Q8_0 |
|---|---|
| Download size | 1.9 GB |
| Memory needed | 2.6 GB |
| Usable fast memory | 96.0 GB |
| Fit | fits in fast memory |
| Estimated speed | ~230 tok/s (estimate) |
| Command | ollama run deepseek-r1:1.5b-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.
A project by OnDevice Labs · llms.txt