Epimetheus-14B-Axo by prithivMLmods is a 14.8 billion parameter language model based on the Qwen 2.5 architecture, optimized for general-purpose reasoning and answering. It excels in contextual understanding, logical deduction, and multi-step problem-solving, fine-tuned with long chain-of-thought reasoning and specialized datasets. The model supports a long context of up to 128K tokens for input and can generate up to 8K tokens in output, making it suitable for detailed responses and multilingual applications across 29 languages.
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Epimetheus-14B-Axo: Enhanced Reasoning and Multilingual Capabilities
Epimetheus-14B-Axo, developed by prithivMLmods, is a 14.8 billion parameter model built on the Qwen 2.5 architecture. It is specifically designed to significantly enhance reasoning capabilities in 14B-parameter models, excelling in general-purpose reasoning, contextual understanding, logical deduction, and multi-step problem-solving. The model has been fine-tuned using a long chain-of-thought reasoning approach and specialized datasets to improve comprehension, structured responses, and conversational intelligence.
Key Capabilities
- Enhanced General Knowledge: Provides broad and accurate knowledge across diverse domains.
- Improved Instruction Following: Understands and follows complex instructions, generating structured and coherent responses.
- Versatile Adaptability: Resilient to various prompts and conversation styles, including open-ended and structured inquiries.
- Long-Context Support: Handles up to 128K input tokens and generates up to 8K output tokens, ideal for detailed and extended content.
- Multilingual Proficiency: Supports over 29 languages, including English, Chinese, French, Spanish, and more.
- Reasoning Optimization: Fine-tuned for logical deduction and multi-step problem-solving.
Good for
- General-Purpose Reasoning: Assisting with logical reasoning and solving general knowledge problems.
- Educational and Informational Assistance: Providing explanations, summaries, and research-based responses.
- Conversational AI and Chatbots: Building intelligent agents requiring contextual understanding.
- Multilingual Applications: Global communication, translations, and multilingual content generation.
- Structured Data Processing: Analyzing and generating structured outputs like tables and JSON.
- Long-Form Content Generation: Creating extended responses such as articles, reports, and guides.
Performance Highlights
Evaluated on the Open LLM Leaderboard, Epimetheus-14B-Axo achieved an Average score of 39.08%, with notable results including 55.46% on IFEval (0-Shot) and 51.46% on BBH (3-Shot). Detailed results are available on the Open LLM Leaderboard.