Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

cloudcover95/BitNet-mlx

Repository files navigation

BitNet-mlx

Current Ecosystem State

Added vision feature quantization support (src/vision_quant.py).

This enables efficient 1.58-bit ternary processing for image/text tasks such as Instagram story zoom tag recognition.

Integrates directly with VisionTextEngine in JuniorHome for sovereign, low-power on-device vision inference on Apple Silicon.

The core BitNet-mlx library now supports both language and vision modalities with the same ultra-efficient ternary approach.

About

BitNet-mlx is the core math engine of JuniorCloud LLC's sovereign edge stack. Delivers MLX-native 1.58-bit ternary quantization (W \in \{-1, 0, 1\}) and combinatorial TDA in discrete latent space. Features AbsMean scaling, DynamicBitLinear layers, thermal routing, and O(N) design. Yields peak memory efficiency for LLM/VLM on M1-M4 (atm)

Resources

License

Contributing

Stars

Watchers

Forks

Releases

No releases published

Packages

Contributors

Languages

AltStyle によって変換されたページ (->オリジナル) /