Phi-3, -3.5, and -4 for Mac: Locally-run Vision and Language Models for Apple Silicon
-
Updated
Jul 31, 2026 - Jupyter Notebook
Phi-3, -3.5, and -4 for Mac: Locally-run Vision and Language Models for Apple Silicon
This is the repo for the MixKABRN Neural Network (Mixture of Kolmogorov-Arnold Bit Retentive Networks), and an attempt at first adapting it for training on text, and later adjust it for other modalities.
PyTorch research scaffold for RetNet, Block Attention Residuals, and hashed Engram memory
Byte-level RetNet experiments: a from-scratch, softmax-free retention layer and a 28-notebook research archive.
Torch and TF implementation of Retention Network modules.
Point-free layer composition for PyTorch research — build neural networks as expressions, not Module subclasses.
To associate your repository with the retnet topic, visit your repo's landing page and select "manage topics."