How fast will DeepSeek R1 Distill 14B feel on the MacBook M2 Pro 16GB?

DeepSeek R1 Distill 14B on the MacBook M2 Pro 16GB

DeepSeek R1 Distill 14B is a 14.77B-parameter model. At Q4_K_M it needs about 9.7 GB of memory. The MacBook M2 Pro 16GB has 12 GB usable, so it fits entirely in memory. Expect about 13 tokens/sec (12–15), with the first token after 0.6 s for a short prompt. This estimate is based on community benchmarks of this exact setup.

Speed by quantization

QuantizationFile sizeMemoryGenerationFirst tokenSource
Q4_K_M9.0 GBFits13 tok/s0.6 sMeasured
Q8_015.7 GBDoesn't fitWon't run——
FP1629.6 GBDoesn't fitWon't run——

DeepSeek R1 Distill 14B on other hardware

Other models on the MacBook M2 Pro 16GB

All models on the MacBook M2 Pro 16GB · DeepSeek R1 Distill 14B on all hardware

Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.