Spaces:
Configuration error
Configuration error
| # E Inference | |
| Making intelligence as accessible as electricity. | |
| ## About | |
| E Inference compresses large language models after training, reducing their size while preserving up to 90% of the original model's quality. The result is models that are smaller, cheaper, and faster to run without the steep quality loss typical of compression. | |
| ## Why | |
| Large models are powerful but expensive to run. For intelligence to work like a utility — available everywhere, to everyone — it needs to run efficiently on far less compute than it does today. That's the problem we're solving. | |
| ## Status | |
| Early stage. This repository will expand to include a compression toolkit, benchmark results, and usage examples. | |
| ## Contact | |
| Details coming soon. | |
| ## License | |
| TBD. | |