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Yes. Jais 3 MoVA 36B-A4B (MoE) fits in fast memory on Mac Studio M5 Ultra (80c GPU) 96GB at Q8_0 (41.3 GB needed, 72.0 GB usable), about 108 tok/s (estimate).
Hardware: Mac Studio M5 Ultra (80c GPU) 96GB · Model: Jais 3 MoVA 36B-A4B (MoE)
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. Jais 3 MoVA 36B-A4B (MoE) (36B, 4B active, IFM) at Q8_0 is a 39.83 GB download and needs 41.3 GB with headroom for about 8k tokens.
| Best quant | Q8_0 |
|---|---|
| Download size | 39.83 GB |
| Memory needed | 41.3 GB |
| Usable fast memory | 72.0 GB |
| Fit | fits in fast memory |
| Estimated speed | ~108 tok/s (estimate) |
| Command | ollama run hf.co/IFM/Jais-3-MoVA-36B-A4B-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.
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