So what's the consensus on 1bit models? Is it still a pipe dream?

Reddit r/LocalLLaMA News

Summary

Discussion on the feasibility of 1-bit models like Bonsai 8b and 27b, which achieve small file sizes while remaining functional, questioning their primary use cases and future.

With Bonsai 8b at 1bit being 1gb~ size while being functional and the 27b being dropped also at 1bit while only being 5~gb, is the future for 1bit models looking bright? What will their primary use be?
Original Article

Similar Articles

1-Bit Bonsai Image 4B Image Generation for Local Devices

Hacker News Top

PrismML releases Bonsai Image 4B, a family of compact image generation models using 1-bit and ternary weights, enabling high-quality diffusion inference on local devices like laptops and iPhones with significantly reduced memory footprint.

Ternary Bonsai: Top Intelligence at 1.58 Bits

Hacker News Top

A highly efficient AI model architecture using ternary weights (-1, 0, 1) that achieves competitive performance while requiring only 1.58 bits per parameter, enabling deployment on extremely constrained devices.