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Yes. Nimble 9B (Bespoke Labs, decision) fits in fast memory on M1 16GB at Q8_0 (10.6 GB needed, 10.7 GB usable), about 6 tok/s (estimate).
Hardware: M1 16GB · Model: Nimble 9B (Bespoke Labs, decision)
M1 16GB has 16 GB of unified memory and 68 GB/s of memory bandwidth. The checker leaves macOS a share of unified memory, so Ollama can use 10.7 GB. Nimble 9B (Bespoke Labs, decision) (9B, Bespoke Labs) at Q8_0 is a 9.5 GB download and needs 10.6 GB with headroom for about 8k tokens.
| Best quant | Q8_0 |
|---|---|
| Download size | 9.5 GB |
| Memory needed | 10.6 GB |
| Usable fast memory | 10.7 GB |
| Fit | fits in fast memory |
| Estimated speed | ~6 tok/s (estimate) |
| Command | ollama run nimble:9b-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