prithivMLmods/Pegasus-Opus-14B-Exp
Pegasus-Opus-14B-Exp is a 14.8 billion parameter language model developed by prithivMLmods, based on the Qwen 2.5 modality architecture with a 32768 token context length. It is specifically fine-tuned for general-purpose reasoning, excelling in contextual understanding, logical deduction, and multi-step problem-solving. The model supports up to 128K input tokens and 8K output tokens, and offers multilingual proficiency across 29 languages, making it suitable for complex analytical and conversational AI applications.
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Pegasus-Opus-14B-Exp: Enhanced Reasoning and Multilingual Capabilities
Pegasus-Opus-14B-Exp is a 14.8 billion parameter model built upon the Qwen 2.5 modality architecture, specifically designed to significantly improve reasoning capabilities. It is optimized for general-purpose reasoning and answering, demonstrating strengths in contextual understanding, logical deduction, and multi-step problem-solving. The model has been fine-tuned with a long chain-of-thought reasoning approach and specialized datasets to enhance comprehension, structured response generation, and conversational intelligence.
Key Capabilities
- Enhanced General Knowledge: Provides broad and accurate knowledge across diverse domains.
- Improved Instruction Following: Excels at understanding complex instructions and generating structured, coherent responses.
- Versatile Adaptability: Resilient to varied prompts and conversation styles, handling both open-ended and structured inquiries.
- Long-Context Support: Processes up to 128K input tokens and generates up to 8K output tokens, ideal for detailed and extended interactions.
- Multilingual Proficiency: Supports over 29 languages, including major global languages like English, Chinese, French, Spanish, German, and Japanese.
Good for
- General-Purpose Reasoning: Assisting with logical reasoning, diverse question answering, and problem-solving.
- Educational & Informational Assistance: Generating explanations, summaries, and research-based content.
- Conversational AI & Chatbots: Building intelligent agents requiring deep contextual understanding.
- Multilingual Applications: Facilitating global communication, translation, and content generation across languages.
- Long-Form Content Generation: Producing extended articles, reports, and guides while maintaining coherence.