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  - code
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  - 14B
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  - CoT
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- - math
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  ![12.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/DyO5Fvqwvee-UM9QqgWZS.png)
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  # **Mensa-Beta-14B-Instruct**
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- Mensa-Beta-14B-Instruct is based on the Qwen 2.5 14B modality architecture, designed to enhance the reasoning capabilities of 14B-parameter models. This model is optimized for general-purpose reasoning and answering, excelling in contextual understanding, logical deduction, and multi-step problem-solving. It offers improved comprehension, structured responses, and conversational intelligence.
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  ## **Key Improvements**
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  1. **Enhanced General Knowledge**: The model provides broad knowledge across various domains, improving capabilities in answering questions accurately and generating coherent responses.
 
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  - code
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  - 14B
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  - CoT
 
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  ---
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  ![12.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/DyO5Fvqwvee-UM9QqgWZS.png)
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  # **Mensa-Beta-14B-Instruct**
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+ > Mensa-Beta-14B-Instruct is based on the Qwen 2.5 14B modality architecture, designed to enhance the reasoning capabilities of 14B-parameter models. This model is optimized for general-purpose reasoning and answering, excelling in contextual understanding, logical deduction, and multi-step problem-solving. It offers improved comprehension, structured responses, and conversational intelligence.
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  ## **Key Improvements**
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  1. **Enhanced General Knowledge**: The model provides broad knowledge across various domains, improving capabilities in answering questions accurately and generating coherent responses.