Epimetheus-14B-Axo
| Property | Value |
|---|---|
| Parameter Count | 14 Billion |
| Model Type | General-Purpose Language Model |
| Architecture | Qwen 2.5 14B |
| Context Window | 128K tokens |
| Model Hub | Hugging Face |
What is Epimetheus-14B-Axo?
Epimetheus-14B-Axo is an advanced language model built on the Qwen 2.5 14B architecture, specifically engineered to enhance reasoning capabilities and multi-step problem-solving. The model represents a significant advancement in AI language processing, featuring extensive multilingual support across 29 languages and a remarkable 128K token context window.
Implementation Details
The model is implemented using the transformers library and optimized for modern GPU architectures. It features comprehensive chat template support and can generate up to 8K tokens in a single output, making it suitable for long-form content generation and complex reasoning tasks.
- Built on Qwen 2.5 14B architecture with enhanced reasoning capabilities
- Supports 128K token context window with 8K token generation capacity
- Implements advanced chain-of-thought reasoning
- Features comprehensive multilingual support for 29+ languages
Core Capabilities
- Enhanced general knowledge and reasoning across diverse domains
- Improved instruction following and structured response generation
- Advanced multilingual processing and generation
- Long-context understanding and coherent output generation
- Structured data processing and analysis capabilities
Frequently Asked Questions
Q: What makes this model unique?
Epimetheus-14B-Axo stands out for its exceptional combination of long-context processing (128K tokens), advanced reasoning capabilities, and extensive multilingual support. Its specialized fine-tuning for chain-of-thought reasoning makes it particularly effective for complex problem-solving tasks.
Q: What are the recommended use cases?
The model excels in general-purpose reasoning, educational assistance, multilingual applications, and structured data processing. It's particularly well-suited for applications requiring long-form content generation, research-based responses, and complex problem-solving scenarios.
