https://github.com/metric-space/llm-distance

brain-dead way to measure distance between 2 llm(s) assuming both live in R^n euclidean space
https://github.com/metric-space/llm-distance

Last synced: about 5 hours ago
JSON representation

brain-dead way to measure distance between 2 llm(s) assuming both live in R^n euclidean space

• Host: GitHub
• URL: https://github.com/metric-space/llm-distance
• Owner: metric-space
• Created: 2024-08-24T22:57:12.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-08-24T23:22:50.000Z (2 months ago)
• Last Synced: 2024-08-25T00:24:06.739Z (2 months ago)
• Language: Python
• Size: 5.86 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
## Warning

pretty simple way to calculate distances between llm weight parameters. I will not be responsible for your potential intellectual exile for using this.

Please use with caution

## usage

```bash

python -mvenv llm-distance && source bin/activate && pip install requirements.txt

python llm-distance.py model_hf_path_or_local_path_1 model_hf_path_or_local_path_2 

```