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No. Ornith-1.5 35B-A3B (MoE) does not fit on M2 24GB: Default needs 24.8 GB and 16.1 GB is usable.
Hardware: M2 24GB · Model: Ornith-1.5 35B-A3B (MoE)
M2 24GB has 24 GB of unified memory and 100 GB/s of memory bandwidth. M3 24GB has the same memory and bandwidth, so the fit numbers match; this page is M2 24GB. The checker leaves macOS a share of unified memory, so Ollama can use 16.1 GB. Ornith-1.5 35B-A3B (MoE) (35B, 3B active, Ornith) at Default is a 23 GB download and needs 24.8 GB with headroom for about 8k tokens.
| Best quant | Default |
|---|---|
| Download size | 23 GB |
| Memory needed | 24.8 GB |
| Usable fast memory | 16.1 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run ornith-1.5:35b |
Smallest hardware that runs it: RTX 4060 Ti 16GB at Default (partial offload (slower), 24.8 GB needed, 15.5 GB usable, about 20 tok/s (estimate)). Can a RTX 4060 Ti 16GB run Ornith-1.5 35B-A3B (MoE)?
A smaller Ornith model that fits this hardware: Ornith-1.5 9B at Default (fits in fast memory, 8 GB). Can a M2 24GB run Ornith-1.5 9B?
Open M2 24GB in the checkerEstimates, 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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