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  **Typhoon-DeepSeek-R1-70B** is a Thai 🇹🇭 reasoning large language model with 70 billion parameters, and it is based on DeepSeek R1 70B Distill.
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- For release-blog. please see [....]
 
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  *To acknowledge Meta's effort in creating the foundation model and to comply with the license, we explicitly include "llama-3.1" in the model name.
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  ## **Performance**
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- 1. add reasoning performance chart / table
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- 2. add general instruct performance chart / table
 
 
 
 
 
 
 
 
 
 
 
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  ## **Model Description**
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  - **License**: [Llama 3.1 Community License](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE)
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  ## Usage Example
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  ```python
 
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  **Typhoon-DeepSeek-R1-70B** is a Thai 🇹🇭 reasoning large language model with 70 billion parameters, and it is based on DeepSeek R1 70B Distill.
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+ For more detail. please see our [blog](https://arxiv.org/abs/2412.13702). The paper is coming soon.
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  *To acknowledge Meta's effort in creating the foundation model and to comply with the license, we explicitly include "llama-3.1" in the model name.
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  ## **Performance**
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+ **Reasoning Performance**
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+ <div align="center">
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+ <img src="https://storage.googleapis.com/typhoon-public/assets/typhoon2-text/r1_reasoning.jpg" alt="Typhoon DeepSeek R1 70B Reasoning Performance" width="100%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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+ </div>
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+ **General Instruction-Following Performance**
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+ <div align="center">
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+ <img src="https://storage.googleapis.com/typhoon-public/assets/typhoon2-text/r1_general.jpg" alt="Typhoon DeepSeek R1 70B General Performance" width="100%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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+ </div>
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+
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  ## **Model Description**
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  - **License**: [Llama 3.1 Community License](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/LICENSE)
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  ## Usage Example
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  ```python