Rapid-MLX v0.16.0 adds TensorFold profiles claimed to speed Mac model throughput
Overview
Rapid-MLX releases v0.16.0 with TensorFold profiles for running AI models locally on Mac.
The release post, a single X post, says DeepSeek V4 Flash gains up to 2.1× throughput, Bonsai 2 27B gains 42%, and Gemma 4 26B gains 4%. The post does not give the baseline hardware or test method behind these figures, and no independent benchmark or follow-up report is included in this story.
Written by AI from the articles below · updated Oct 9, 3:59 PM ET
Check the sources:
Article timeline
The articles in this story. Times are ET.
Rapid-MLX · local AI on your Mac@rapidmlxXRapid-MLX v0.16.0 adds TensorFold profiles with speedups for local Mac modelsAIRapid-MLX v0.16.0 introduces TensorFold profiles for running AI models locally on Mac. The post says DeepSeek V4 Flash gains up to 2.1× throughput, Bonsai 2 27B gains 42%, and Gemma 4 26B gains 4%.

Heat trend
Not enough continuous observations to show a trend yet.