Spaces:
Configuration error
Configuration error
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,10 +1,24 @@
|
|
| 1 |
-
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
# E Inference
|
| 3 |
+
|
| 4 |
+
Making intelligence as accessible as electricity.
|
| 5 |
+
|
| 6 |
+
## About
|
| 7 |
+
|
| 8 |
+
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.
|
| 9 |
+
|
| 10 |
+
## Why
|
| 11 |
+
|
| 12 |
+
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.
|
| 13 |
+
|
| 14 |
+
## Status
|
| 15 |
+
|
| 16 |
+
Early stage. This repository will expand to include a compression toolkit, benchmark results, and usage examples.
|
| 17 |
+
|
| 18 |
+
## Contact
|
| 19 |
+
|
| 20 |
+
Details coming soon.
|
| 21 |
+
|
| 22 |
+
## License
|
| 23 |
+
|
| 24 |
+
TBD.
|