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  **Typhoon2-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 details, 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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- ## **Model Description**
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- - **Model type**: A 70B instruct decoder-only model based on Llama architecture.
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- - **Requirement**: transformers 4.45.0 or newer.
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- - **Primary Language(s)**: Thai 🇹🇭 and English 🇬🇧
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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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  ## Recommend system prompt
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  ```
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  You are a helpful assistant that always reasons before answering. First, provide reasoning in English start with Alright!, then respond to the user in the language they use or request.
 
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  **Typhoon2-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 details, please see our [blog](https://arxiv.org/abs/2412.13702). Demo on [opentyphoon.ai](https://playground.opentyphoon.ai/playground).
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+ 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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+ ## **Model Description**
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+ - **Model type**: A 70B instruct decoder-only model based on Llama architecture.
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+ - **Requirement**: transformers 4.45.0 or newer.
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+ - **Primary Language(s)**: Thai 🇹🇭 and English 🇬🇧
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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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+ - **Demo**: [opentyphoon.ai](https://playground.opentyphoon.ai/playground).
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  ## **Performance**
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  **Reasoning Performance**
 
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  </div>
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  ## Recommend system prompt
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  ```
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  You are a helpful assistant that always reasons before answering. First, provide reasoning in English start with Alright!, then respond to the user in the language they use or request.