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Yes. Phi-4 Mini 3.8B fits in fast memory on M4 24GB at Q8_0 (4.9 GB needed, 16.1 GB usable), about 23 tok/s (estimate).
Hardware: M4 24GB · Model: Phi-4 Mini 3.8B
M4 24GB has 24 GB of unified memory and 120 GB/s of memory bandwidth. The checker leaves macOS a share of unified memory, so Ollama can use 16.1 GB. Phi-4 Mini 3.8B (3.84B, Microsoft) at Q8_0 is a 4.1 GB download and needs 4.9 GB with headroom for about 8k tokens.
| Best quant | Q8_0 |
|---|---|
| Download size | 4.1 GB |
| Memory needed | 4.9 GB |
| Usable fast memory | 16.1 GB |
| Fit | fits in fast memory |
| Estimated speed | ~23 tok/s (estimate) |
| Command | ollama run phi4-mini:3.8b-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.
A project by OnDevice Labs · llms.txt