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Yes. Qwen 2.5 Coder 32B fits in fast memory on M4 32GB at Q4_K_M (22.2 GB needed, 24.0 GB usable), about 5 tok/s (estimate).
Hardware: M4 32GB · Model: Qwen 2.5 Coder 32B
M4 32GB has 32 GB of unified memory and 120 GB/s of memory bandwidth. The checker leaves macOS a share of unified memory, so Ollama can use 24.0 GB. Qwen 2.5 Coder 32B (32.8B, Alibaba) at Q4_K_M is a 20 GB download and needs 22.2 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 20 GB |
| Memory needed | 22.2 GB |
| Usable fast memory | 24.0 GB |
| Fit | fits in fast memory |
| Estimated speed | ~5 tok/s (estimate) |
| Command | ollama run qwen2.5-coder:32b |
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