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- text-generation-inference
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- Qwen
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- text-generation-inference
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- Qwen
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# **Calcium-Opus-20B-v1**
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Calcium-Opus-20B-v1 is based on the Qwen 2.5 modality architecture, designed to enrich the reasoning capabilities of 20B-parameter models. These models have proven highly effective for context understanding, reasoning, and mathematical problem-solving.
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Key improvements include:
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1. **Enhanced Knowledge and Expertise**: The model demonstrates significantly more knowledge and greatly improved capabilities in coding and mathematics, thanks to specialized expert models in these domains.
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2. **Improved Instruction Following**: It shows significant advancements in following instructions, generating long texts (over 8K tokens), understanding structured data (e.g., tables), and producing structured outputs, especially in JSON format.
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3. **Better Adaptability**: The model is more resilient to diverse system prompts, enabling enhanced role-playing implementations and condition-setting for chatbots.
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4. **Long-Context Support**: It offers long-context support of up to 128K tokens and can generate up to 8K tokens in a single output.
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5. **Multilingual Proficiency**: The model supports over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
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