I built a compression format for AI model weights — 60-80% smaller, need help testing

Round 2 FIGHT! Hey everyone — some of you might remember my VRAM pager project from a couple of days back. Ultimately I was a little late to that party but sometimes stepping back leads us to other innovations I created a new compression method for models and would greatly appreciate some help testing it, its called DMX.

Results so far:

- 9.1 GB model → 1.8 GB (80% smaller)

- 7.2 GB model → 1.5 GB (79.5% smaller)

- Llama 3 8B: only +0.16% perplexity loss

Where I need your help:

- Try it on models I haven't — especially Mixtral, FLUX, Gemma

- Try to break it.

- Share your results !

Try it:

- GitHub: https://github.com/willjriley/dmx

- Pre-compressed models to test: https://huggingface.co/Senat1

MIT license. Feedback, bug reports, or just telling me I'm nuts — all welcome. Thanks!