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Yes. Nimble 9B (Bespoke Labs, decision) fits in fast memory on M2 24GB at Q8_0 (10.6 GB needed, 16.1 GB usable), about 8 tok/s (estimate).
Hardware: M2 24GB · Model: Nimble 9B (Bespoke Labs, decision)
M2 24GB has 24 GB of unified memory and 100 GB/s of memory bandwidth. M3 24GB has the same memory and bandwidth, so the fit numbers match; this page is M2 24GB. The checker leaves macOS a share of unified memory, so Ollama can use 16.1 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 | 16.1 GB |
| Fit | fits in fast memory |
| Estimated speed | ~8 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.
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