Update README.md
Browse files
README.md
CHANGED
|
@@ -58,14 +58,17 @@ library_name: transformers
|
|
| 58 |
|
| 59 |
### Mi:dm 2.0
|
| 60 |
|
| 61 |
-
Mi:dm 2.0 is a __"
|
| 62 |
|
| 63 |
-
|
| 64 |
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
|
| 68 |
|
|
|
|
|
|
|
|
|
|
| 69 |
|
| 70 |
> [!Note]
|
| 71 |
> Neither the pre-training nor the post-training data includes KT users' data.
|
|
@@ -548,6 +551,6 @@ Mi:dm 2.0 is licensed under the [MIT License](./LICENSE).
|
|
| 548 |
}
|
| 549 |
``` -->
|
| 550 |
### Contact
|
| 551 |
-
|
| 552 |
|
| 553 |
<br>
|
|
|
|
| 58 |
|
| 59 |
### Mi:dm 2.0
|
| 60 |
|
| 61 |
+
**Mi:dm 2.0** is a __"Korea-centric AI"__ model developed using KT's proprietary technology. The term __"Korea-centric AI"__ refers to a model that deeply internalizes the unique values, cognitive frameworks, and commonsense reasoning inherent to Korean society. It goes beyond simply processing or generating Korean text—it reflects a deeper understanding of the socio-cultural norms and values that define Korean society.
|
| 62 |
|
| 63 |
+
Mi:dm 2.0 is released in two versions:
|
| 64 |
|
| 65 |
+
- **Mi:dm 2.0-Base**
|
| 66 |
+
An 11.5B parameter dense model designed to balance model size and performance.
|
| 67 |
+
It extends an 8B-scale model by applying the Depth-up Scaling (DuS) method, making it suitable for real-world applications that require both performance and versatility.
|
| 68 |
|
| 69 |
+
- **Mi:dm 2.0-Mini**
|
| 70 |
+
A lightweight 2.3B parameter dense model optimized for on-device environments and systems with limited GPU resources.
|
| 71 |
+
It was derived from the Base model through pruning and distillation to enable compact deployment.
|
| 72 |
|
| 73 |
> [!Note]
|
| 74 |
> Neither the pre-training nor the post-training data includes KT users' data.
|
|
|
|
| 551 |
}
|
| 552 |
``` -->
|
| 553 |
### Contact
|
| 554 |
+
Mi:dm 2.0 Technical Inquiries: midm-llm@kt.com
|
| 555 |
|
| 556 |
<br>
|