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No. Muse Glimmer 30B does not fit on M2 Pro 16GB: Q4_K_M needs 20.4 GB and 10.7 GB is usable.
Hardware: M2 Pro 16GB · Model: Muse Glimmer 30B
M2 Pro 16GB has 16 GB of unified memory and 200 GB/s of memory bandwidth. M1 Pro 16GB has the same memory and bandwidth, so the fit numbers match; this page is M2 Pro 16GB. The checker leaves macOS a share of unified memory, so Ollama can use 10.7 GB. Muse Glimmer 30B (29.8B, Muse) at Q4_K_M is a 18 GB download and needs 20.4 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 18 GB |
| Memory needed | 20.4 GB |
| Usable fast memory | 10.7 GB |
| Fit | does not fit |
| Estimated speed | no estimate, it does not fit |
| Command | ollama run muse-glimmer:30b |
Smallest hardware that runs it: RTX 3060 12GB at Q4_K_M (partial offload (slower), 20.4 GB needed, 11.5 GB usable, about 4 tok/s (estimate)). Can a RTX 3060 12GB run Muse Glimmer 30B?
No smaller Muse model in this list fits M2 Pro 16GB.
Open M2 Pro 16GB 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