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No. Jais 3 MoVA 36B-A4B (MoE) does not fit on M3 24GB: Q4_K_M needs 23.9 GB and 16.1 GB is usable.
Hardware: M3 24GB · Model: Jais 3 MoVA 36B-A4B (MoE)
M3 24GB has 24 GB of unified memory and 100 GB/s of memory bandwidth. M2 24GB has the same memory and bandwidth, so the fit numbers match; this page is M3 24GB. The checker leaves macOS a share of unified memory, so Ollama can use 16.1 GB. Jais 3 MoVA 36B-A4B (MoE) (36B, 4B active, IFM) at Q4_K_M is a 22.37 GB download and needs 23.9 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 22.37 GB |
| Memory needed | 23.9 GB |
| Usable fast memory | 16.1 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run hf.co/IFM/Jais-3-MoVA-36B-A4B-GGUF:Q4_K_M |
Smallest hardware that runs it: RTX 4060 Ti 16GB at Q4_K_M (partial offload (slower), 23.9 GB needed, 15.5 GB usable, about 16 tok/s (estimate)). Can a RTX 4060 Ti 16GB run Jais 3 MoVA 36B-A4B (MoE)?
A smaller IFM model that fits this hardware: Jais 3 7B at Q8_0 (fits in fast memory, 10.6 GB). Can a M3 24GB run Jais 3 7B?
Open M3 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.
A project by OnDevice Labs · llms.txt