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Yes. Jais 3 32B fits in fast memory on Mac Studio M4 Max (40c GPU) 64GB at Q8_0 (39.3 GB needed, 48.0 GB usable), about 12 tok/s (estimate).
Hardware: Mac Studio M4 Max (40c GPU) 64GB · Model: Jais 3 32B
Mac Studio M4 Max (40c GPU) 64GB has 64 GB of unified memory and 546 GB/s of memory bandwidth. M4 Max (40c GPU) 64GB has the same memory and bandwidth, so the fit numbers match; this page is Mac Studio M4 Max (40c GPU) 64GB. The checker leaves macOS a share of unified memory, so Ollama can use 48.0 GB. Jais 3 32B (34.78B, IFM) at Q8_0 is a 36.97 GB download and needs 39.3 GB with headroom for about 8k tokens.
| Best quant | Q8_0 |
|---|---|
| Download size | 36.97 GB |
| Memory needed | 39.3 GB |
| Usable fast memory | 48.0 GB |
| Fit | fits in fast memory |
| Estimated speed | ~12 tok/s (estimate) |
| Command | ollama run hf.co/IFM/Jais-3-32B-GGUF: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