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README.md
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- 🔜 _(Coming Soon!) GGUF format model files will be available soon for easier local deployment._
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- ⚡️`2025/07/04`: Released Mi:dm 2.0 Model collection on Hugging Face🤗.
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# Overview
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**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.
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<br>
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Here is the code snippet to run conversational inference with the model:
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<!-- first half table-->
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<table>
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<table>
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# Usage
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You can try our model immediately via `Friendli.AI`. Simply click `Deploy` and then `Friendli Endpoints`.
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> [!Note]
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<img src="./assets/image_2.png" alt="Right Image" width="36%" style="display:inline-block">
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</p>
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We provide a detailed description about running Mi:dm 2.0 on your local machine using llama.cpp, LM Studio, and Ollama. Please check our [github](https://github.com/K-intelligence-Midm/Midm-2.0) for more information
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To serve Mi:dm 2.0 using [vLLM](https://github.com/vllm-project/vllm)(`>=0.8.0`) with an OpenAI-compatible API:
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```bash
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```
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To help our end-users easily use Mi:dm 2.0, we have provided comprehensive tutorials on [github](https://github.com/K-intelligence-Midm/Midm-2.0).
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<br>
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# More Information
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* The training data for both Mi:dm 2.0 models consists primarily of English and Korean. Understanding and generation in other languages are not guaranteed.
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* The model is not guaranteed to provide reliable advice in fields that require professional expertise, such as law, medicine, or finance.
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* Researchers have made efforts to exclude unethical content from the training data — such as profanity, slurs, bias, and discriminatory language. However, despite these efforts, the model may still produce inappropriate expressions or factual inaccuracies.
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Mi:dm 2.0 is licensed under the [MIT License](./LICENSE).
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url={},
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}
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``` -->
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Mi:dm 2.0 Technical Inquiries: [email protected]
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<br>
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<br>
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# News 📢
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- 🔜 _(Coming Soon!) GGUF format model files will be available soon for easier local deployment._
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- ⚡️`2025/07/04`: Released Mi:dm 2.0 Model collection on Hugging Face🤗.
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# Overview
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## Mi:dm 2.0
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**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.
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<br>
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## Quickstart
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Here is the code snippet to run conversational inference with the model:
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<br>
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<br>
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## Evaluation
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### Korean
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<!-- first half table-->
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<table>
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<br>
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### English
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<table>
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# Usage
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## Run on Friendli.AI
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You can try our model immediately via `Friendli.AI`. Simply click `Deploy` and then `Friendli Endpoints`.
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> [!Note]
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<img src="./assets/image_2.png" alt="Right Image" width="36%" style="display:inline-block">
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</p>
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## Run on Your Local Machine
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We provide a detailed description about running Mi:dm 2.0 on your local machine using llama.cpp, LM Studio, and Ollama. Please check our [github](https://github.com/K-intelligence-Midm/Midm-2.0) for more information
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## Deployment
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To serve Mi:dm 2.0 using [vLLM](https://github.com/vllm-project/vllm)(`>=0.8.0`) with an OpenAI-compatible API:
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```bash
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```
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## Tutorials
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To help our end-users easily use Mi:dm 2.0, we have provided comprehensive tutorials on [github](https://github.com/K-intelligence-Midm/Midm-2.0).
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<br>
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# More Information
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## Limitation
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* The training data for both Mi:dm 2.0 models consists primarily of English and Korean. Understanding and generation in other languages are not guaranteed.
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| 546 |
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* The model is not guaranteed to provide reliable advice in fields that require professional expertise, such as law, medicine, or finance.
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* Researchers have made efforts to exclude unethical content from the training data — such as profanity, slurs, bias, and discriminatory language. However, despite these efforts, the model may still produce inappropriate expressions or factual inaccuracies.
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## License
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Mi:dm 2.0 is licensed under the [MIT License](./LICENSE).
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url={},
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}
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``` -->
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## Contact
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Mi:dm 2.0 Technical Inquiries: [email protected]
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<br>
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