model_card.md

metadata

language:
  - en
license: mit
tags:
  - conversational
  - emotional-intelligence
  - brello-ei
  - epic-systems
  - ai-assistant
  - empathy
  - mental-health
  - support
pipeline_tag: text-generation

Brello EI 0 - Emotional Intelligence AI Model

Created by Epic Systems | Engineered by Rehan Temkar

A conversational AI model designed for emotional intelligence and empathetic responses. Brello EI 0 is part of the Brello AI family, bringing human-like emotional understanding to AI conversations.

🚀 Features

• Emotional Intelligence: Designed for empathetic, understanding responses
• Conversational: Natural dialogue flow and engagement
• Local Operation: Can run completely locally
• Memory Efficient: Optimized for limited hardware
• Easy Integration: Simple API for quick integration

📦 Installation

pip install torch transformers accelerate

🎯 Quick Start

from brello_ei_0 import BrelloEI0

# Load the model
model = BrelloEI0(
    model_path="microsoft/DialoGPT-medium",
    load_in_4bit=False
)

# Generate emotionally intelligent response
response = model.generate_response("I'm feeling really stressed about my presentation tomorrow.")
print(response)

💬 Example Conversations

# Anxiety Support
response = model.generate_response("I'm feeling really anxious about my job interview tomorrow.")
# Output: "I can understand how nerve-wracking job interviews can be..."

# Celebrating Success
response = model.generate_response("I just got promoted at work!")
# Output: "That's wonderful! I can feel your excitement..."

# Emotional Support
response = model.generate_response("I'm feeling lonely and isolated.")
# Output: "I'm so sorry you're feeling this way..."

🎯 Use Cases

Emotional Support

• Providing empathetic responses to stress and anxiety
• Supporting users through difficult life transitions
• Celebrating achievements and successes

Personal Development

• Career guidance and decision-making support
• Life goal exploration and planning
• Self-reflection and emotional awareness

Mental Health Support

• Stress management and coping strategies
• Emotional validation and understanding
• Positive reinforcement and encouragement

⚙️ Configuration

Model Parameters

• model_path: Path to base model (default: "microsoft/DialoGPT-medium")
• device: Device to load model on ('cuda', 'cpu', etc.)
• load_in_4bit: Enable 4-bit quantization for memory efficiency
• load_in_8bit: Enable 8-bit quantization for memory efficiency

Generation Parameters

• temperature: Sampling temperature (default: 0.7)
• top_p: Top-p sampling parameter (default: 0.9)
• max_length: Maximum response length (default: 4096)
• min_length: Minimum response length (default: 30)
• max_new_tokens: Maximum new tokens to generate (default: 256)

📊 Performance

Model Specifications

• Foundation: Microsoft DialoGPT-medium
• Parameters: 345 Million
• Context Length: 1024 tokens
• Training: Conversational dialogue data
• Optimization: Emotional intelligence focus

Memory Requirements

• Full Precision: ~1GB VRAM
• 8-bit Quantization: ~500MB VRAM
• 4-bit Quantization: ~250MB VRAM (recommended)

🏗️ Architecture

Brello EI 0 is built on advanced language model architecture with the following key components:

• Base Model: Microsoft DialoGPT-medium
• Tokenizer: Optimized for conversational data
• Generation: Emotionally intelligent response patterns
• Post-processing: Response cleaning and enhancement
• Quantization: 4-bit for memory efficiency (optional)

🤝 Contributing

This model is part of the Epic Systems AI initiative. For questions or contributions, please contact the development team.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Epic Systems for the vision and support
• Rehan Temkar for engineering and development
• Microsoft for the DialoGPT foundation model
• Hugging Face for the transformers library

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Brello EI 0 - Bringing emotional intelligence to AI conversations 💙✨