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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 configurationchat_template.jinja- Chat template with Eva's teaching personatokenizer_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
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