prithivMLmods/Calcium-Opus-14B-Elite2

TEXT GENERATIONConcurrency Cost:1Model Size:14.8BQuant:FP8Ctx Length:32kPublished:Jan 24, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Cold

prithivMLmods/Calcium-Opus-14B-Elite2 is a 14.8 billion parameter language model based on the Qwen 2.5 14B architecture, fine-tuned for enhanced reasoning capabilities. It excels in chain-of-thought reasoning, mathematical problem-solving, and code generation, supporting a 32768 token context length. This model is optimized for complex instruction following, structured data understanding, and multilingual applications across 29 languages.

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Calcium-Opus-14B-Elite2: Enhanced Reasoning and Multilingual Capabilities

Calcium-Opus-14B-Elite2 is a 14.8 billion parameter model built upon the Qwen 2.5 14B architecture, specifically fine-tuned to boost reasoning capabilities. It leverages a long chain-of-thought reasoning model and specialized datasets, making it particularly adept at multi-step problem-solving and generating detailed explanations. The model demonstrates significant improvements in knowledge, especially in coding and mathematics, through the integration of expert models.

Key Capabilities

  • Enhanced Instruction Following: Improved ability to follow complex instructions, generate long texts (over 8K tokens), and produce structured outputs like JSON.
  • Advanced Reasoning: Optimized for logical reasoning, contextual understanding, and mathematical problem-solving.
  • Long-Context Support: Features a context window of up to 128K tokens and can generate outputs up to 8K tokens.
  • Multilingual Proficiency: Supports over 29 languages, including major global languages like Chinese, English, French, Spanish, and Japanese.
  • Adaptability: More resilient to diverse system prompts, enhancing role-playing and chatbot condition-setting.

Good For

  • Complex Reasoning Tasks: Ideal for problems requiring logical deduction and critical thinking.
  • Mathematical and Coding Applications: Specialized for advanced mathematical reasoning, code generation, and debugging.
  • Structured Data Processing: Excels at analyzing structured data (e.g., tables, JSON) and generating structured outputs.
  • Multilingual Content Generation: Versatile for global applications such as multilingual chatbots and content creation.
  • Extended Content Creation: Capable of generating long-form content like reports and detailed guides.