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  - Math
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  - text-generation-inference
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  - Math-CoT
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  - Math
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+ # **Deepthink-Reasoning-14B**
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+ The *Deepthink-Reasoning-14B* model is a fine-tuned version of the *Qwen2.5* base model, designed for text generation tasks requiring deep reasoning, logical structuring, and problem-solving. This model leverages its optimized architecture to provide accurate and contextually relevant outputs for complex queries, making it ideal for applications in education, programming, and creative writing.
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+ With its robust natural language processing capabilities, *Deepthink-Reasoning-14B* excels in generating step-by-step solutions, creative content, and logical analyses. Its architecture integrates an advanced understanding of both structured and unstructured data, ensuring precise text generation aligned with user inputs.
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+ - It possesses significantly **more knowledge** and exhibits greatly improved capabilities in **coding** and **mathematics**, thanks to specialized expert models in these domains.
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+ - Offers substantial improvements in **instruction following**, **generating long texts** (over 8K tokens), **understanding structured data** (e.g., tables), and **producing structured outputs**, especially in JSON format. It is **more resilient to diverse system prompts**, enhancing role-play implementation and condition-setting for chatbots.
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+ - Provides **long-context support** for up to 128K tokens and can generate up to 8K tokens.
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+ - Features **multilingual support** for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.