// RUN — FITS

Can the Apple M2 Max 32GB run DeepSeek Coder 1.3B?

Yes — here's how fast and up to what context, with real measured numbers.

DeepSeek Coder 1.3B on the Apple M2 Max 32GB

QuantFits?Max contextSpeedBeyond context
FP16 yes 377k 104.6-126.2 t/s ~2.6-3.2 (slow)
Q8 yes 397k 209.2-252.3 t/s ~5.2-6.3 (slow)
Q4 yes 405k 373.6-450.5 t/s ~9.3-11.3 (slow)

Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.

→ All models on the Apple M2 Max 32GB → DeepSeek Coder 1.3B specs → Other hardware

FAQ

Can the Apple M2 Max 32GB run DeepSeek Coder 1.3B?▶

Yes. At Q4 it generates ~373.6-450.5 tok/s and fits up to 405k context; beyond that it spills to SSD swap and slows to ~9.3-11.3 tok/s.

How much context fits?▶

At Q4, up to about 405k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.