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Yes. Qwen3.5 9B fits in fast memory on M1 Pro 16GB at Q4_K_M (8 GB needed, 10.7 GB usable), about 24 tok/s (estimate).
Hardware: M1 Pro 16GB · Model: Qwen3.5 9B
M1 Pro 16GB has 16 GB of unified memory and 200 GB/s of memory bandwidth. M2 Pro 16GB has the same memory and bandwidth, so the fit numbers match; this page is M1 Pro 16GB. The checker leaves macOS a share of unified memory, so Ollama can use 10.7 GB. Qwen3.5 9B (9.65B, Alibaba) at Q4_K_M is a 6.6 GB download and needs 8 GB with headroom for about 8k tokens.
| Best quant | Q4_K_M |
|---|---|
| Download size | 6.6 GB |
| Memory needed | 8 GB |
| Usable fast memory | 10.7 GB |
| Fit | fits in fast memory |
| Estimated speed | ~24 tok/s (estimate) |
| Command | ollama run qwen3.5:9b-q4_K_M |
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