← CanIRunLocal · All hardware · All models

Can a Mac Studio M3 Ultra (80c GPU) 96GB run Ornith-1.5 397B (MoE)?

No. Ornith-1.5 397B (MoE) does not fit on Mac Studio M3 Ultra (80c GPU) 96GB: Default needs 246.4 GB and 72.0 GB is usable.

Hardware: Mac Studio M3 Ultra (80c GPU) 96GB · Model: Ornith-1.5 397B (MoE)

Mac Studio M3 Ultra (80c GPU) 96GB has 96 GB of unified memory and 819 GB/s of memory bandwidth. Mac Studio M3 Ultra (60c GPU) 96GB has the same memory and bandwidth, so the fit numbers match; this page is Mac Studio M3 Ultra (80c GPU) 96GB. The checker leaves macOS a share of unified memory, so Ollama can use 72.0 GB. Ornith-1.5 397B (MoE) (397B, Ornith) at Default is a 242 GB download and needs 246.4 GB with headroom for about 8k tokens.

Best quantDefault
Download size242 GB
Memory needed246.4 GB
Usable fast memory72.0 GB
Fitdoes not fit
Estimated speedno estimate, it does not fit
Commandollama run ornith-1.5:397b

Smallest hardware that runs it: 4x Mac Studio M5 Max (40c GPU) 128GB at Default (fits in fast memory, 246.4 GB needed, 378.0 GB usable, about 4 tok/s (estimate)).

A smaller Ornith model that fits this hardware: Ornith-1.5 35B-A3B (MoE) at Default (fits in fast memory, 24.8 GB). Can a Mac Studio M3 Ultra (80c GPU) 96GB run Ornith-1.5 35B-A3B (MoE)?

Open Mac Studio M3 Ultra (80c GPU) 96GB in the checker

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