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// RUN — FITS
Can the Apple M3 Max 36GB run ruDalle: Kandinsky 3.0?
Yes — here's how fast and up to what context, with real measured numbers.
ruDalle: Kandinsky 3.0 on the Apple M3 Max 36GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 43k | 8.6-10.3 t/s | ~0.3-0.3 (slow) |
| Q8 | yes | 116k | 17.1-20.7 t/s | ~0.6-0.7 (slow) |
| Q4 | yes | 148k | 30.6-36.9 t/s | ~1-1.2 (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 M3 Max 36GB run ruDalle: Kandinsky 3.0?▶
Yes. At Q4 it generates ~30.6-36.9 tok/s and fits up to 148k context; beyond that it spills to SSD swap and slows to ~1-1.2 tok/s.
How much context fits?▶
At Q4, up to about 148k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.