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// RUN — FITS
Can the Apple M2 Max 96GB run DataGemma?
Yes — here's how fast and up to what context, with real measured numbers.
DataGemma on the Apple M2 Max 96GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 116k | 5-6 t/s | ~0.1-0.2 (slow) |
| Q8 | yes | 220k | 10-12.1 t/s | ~0.3-0.3 (slow) |
| Q4 | yes | 266k | 17.9-21.5 t/s | ~0.4-0.5 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the Apple M2 Max 96GB run DataGemma?▶
Yes. At Q4 it generates ~17.9-21.5 tok/s and fits up to 266k context; beyond that it spills to SSD swap and slows to ~0.4-0.5 tok/s.
How much context fits?▶
At Q4, up to about 266k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.