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Yes. Llama 3.2 1B fits in fast memory on Mac Studio M5 Ultra (80c GPU) 256GB at Q8_0 (2 GB needed, 192.0 GB usable), about 738 tok/s (estimate).
Hardware: Mac Studio M5 Ultra (80c GPU) 256GB · Model: Llama 3.2 1B
Mac Studio M5 Ultra (80c GPU) 256GB has 256 GB of unified memory and 1200 GB/s of memory bandwidth. Mac Studio M5 Ultra (64c GPU) 256GB has the same memory and bandwidth, so the fit numbers match; this page is Mac Studio M5 Ultra (80c GPU) 256GB. The checker leaves macOS a share of unified memory, so Ollama can use 192.0 GB. Llama 3.2 1B (1.24B, Meta) at Q8_0 is a 1.3 GB download and needs 2 GB with headroom for about 8k tokens.
| Best quant | Q8_0 |
|---|---|
| Download size | 1.3 GB |
| Memory needed | 2 GB |
| Usable fast memory | 192.0 GB |
| Fit | fits in fast memory |
| Estimated speed | ~738 tok/s (estimate) |
| Command | ollama run llama3.2:1b |
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