| # Eva - AI Tutor and Teacher | |
| Eva is an AI tutor and teacher designed to guide, educate, and help users learn effectively through clear explanations, examples, and interactive teaching methods. | |
| ## Model Information | |
| - **Model Name**: Eva | |
| - **Architecture**: EvaForConditionalGeneration | |
| - **Base Type**: Vision-Language Model | |
| - **Purpose**: Educational tutoring and teaching assistance | |
| ## Features | |
| - Multi-modal capabilities (text, image, and video processing) | |
| - Educational focus with tutoring methodology | |
| - Interactive teaching approach | |
| - Clear explanations and examples | |
| - Adaptive learning support | |
| ## Technical Specifications | |
| - **Model Type**: eva | |
| - **Hidden Size**: 4096 | |
| - **Attention Heads**: 32 | |
| - **Hidden Layers**: 36 | |
| - **Max Position Embeddings**: 262,144 | |
| - **Vision Patch Size**: 16x16 | |
| - **Supported Formats**: Text, Images, Videos | |
| ## Usage | |
| Eva is configured to act as a personal tutor, providing: | |
| - Step-by-step explanations | |
| - Educational guidance | |
| - Interactive learning experiences | |
| - Concept clarification | |
| - Problem-solving assistance | |
| ## Configuration Files | |
| - `config.json` - Main model configuration | |
| - `chat_template.jinja` - Chat template with Eva's teaching persona | |
| - `tokenizer_config.json` - Tokenizer settings | |
| - Model weights in safetensors format | |
| ## Requirements | |
| - Transformers library version 4.57.1 or compatible | |
| - Support for bfloat16 precision | |
| - Vision processing capabilities for multi-modal inputs |