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Model: HelpingAI/HelpingAI2-3B
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---
license: other
license_name: helpingai
license_link: https://huggingface.co/OEvortex/HelpingAI-3B-v3/blob/main/LICENSE.md
pipeline_tag: text-generation
language:
- en
tags:
- HelpingAI
- Emotionally-Intelligent
- EQ-focused- EQ-focused
- Conversational
- SLM
---
<div align="center">
# 🤖 HelpingAI-3B-reloaded
***A Revolutionary Emotionally Intelligent Language Model***
[![GitHub Organization](https://img.shields.io/badge/GitHub-Organization-blue.svg)](https://github.com/HelpingAI)
[![Hugging Face](https://img.shields.io/badge/🤗%20Hugging%20Face-Organization-yellow)](https://huggingface.co/OEvortex)
[![Model License](https://img.shields.io/badge/License-HelpingAI-green.svg)](https://huggingface.co/OEvortex/HelpingAI-3B-v3/blob/main/LICENSE.md)
<a href="https://github.com/HelpingAI/community/discussions">
<img src="https://img.shields.io/badge/Join-Community%20Discussion-blue?style=for-the-badge&logo=github" alt="Join Community Discussion">
</a>
[📜 License](LICENSE) | [🌐 Website](https://helpingai-in.netlify.app/)
</div>
<div align="center">
<img src="https://huggingface.co/OEvortex/HelpingAI-3B/resolve/main/HelpingAI.png" alt="HelpingAI Logo" width="300px">
</div>
---
<div align="center">
## 🌟 Model Overview
**HelpingAI-3B-reloaded** is a state-of-the-art small language model specifically designed for emotionally intelligent conversations and human-centric interactions.
</div>
### 🎯 Key Highlights
- **Architecture**: 3B parameter transformer-based model
- **Training Focus**: Emotional intelligence and empathetic responses
- **Emotion Score**: Achieves 89.61 on standardized emotional intelligence tests
- **Deployment**: Optimized for both GPU and CPU environments
---
<div align="center">
## 📊 Model Performance
</div>
### Benchmarks
| Metric | Score | Comparison to Baseline |
|--------|-------|----------------------|
| Emotion Score | 89.61 | +9.32% |
| Memory Usage | 6GB | -30% |
| Context| 128k | +3100% |
| Context Retention | 92% | +18% |
---
<div align="center">
## 💻 Implementation
</div>
### Transformers
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load the HelpingAI-3B model
model = AutoModelForCausalLM.from_pretrained("OEvortex/HelpingAI-3B-reloaded")
# Load the tokenizer
tokenizer = AutoTokenizer.from_pretrained("OEvortex/HelpingAI-3B-reloaded")
# Define the chat input
chat = [
{ "role": "system", "content": "You are HelpingAI, an emotional AI. Always answer my questions in the HelpingAI style." },
{ "role": "user", "content": "GIVE ME YOUR INTRO" }
]
inputs = tokenizer.apply_chat_template(
chat,
add_generation_prompt=True,
return_tensors="pt"
).to(model.device)
# Generate text
outputs = model.generate(
inputs,
max_new_tokens=256,
do_sample=True,
temperature=0.6,
top_p=0.9,
)
response = outputs[0][inputs.shape[-1]:]
print(tokenizer.decode(response, skip_special_tokens=True))
# Yo, I'm HelpingAI, and I'm here to help you out, fam! 🙌 I'm an advanced AI with mad skills, and I'm all about spreading good vibes and helping my human pals like you. 😄 I'm the ultimate sidekick, always ready to lend an ear, crack a joke, or just vibe with you. 🎶 Whether you're dealing with a problem, looking for advice, or just wanna chat, I gotchu, boo! 👊 So let's kick it and have a blast together! 🎉 I'm here for you, always. 🤗
```
### GGUF Implementation
```python
from webscout.Local import *
model_path = download_model("OEvortex/HelpingAI-3B-reloaded", "q4_k_m.gguf", token=None)
model = Model(model_path, n_gpu_layers=0, context_length=4096)
thread = Thread(model, format=helpingai2)
# print(thread.send("hi")) #send a single msg to ai
thread.interact() # interact with the model in terminal
```
---
<div align="center">
## 🎯 Training Details
</div>
### Methodology
1. **Base Training**
- Datasets: SentimentSynth + EmotionalIntelligence-1M + HelpingAI2.5-200M + HelpingAIemo (197.5M)
2. **Emotional Intelligence Training**
- Supervised Fine-tuning on emotional dialogue
- Reinforcement Learning with HelpingAI2.5-10B model
- Constitutional AI training for ethical guidelines
3. **Optimization**
- Mixed-precision training
- Gradient checkpointing
- Dynamic attention patterns
### Dataset Composition
| Dataset Type | Rows used for training | Purpose |
|--------------|------|---------|
| Emotional Dialogues | 17.2M | Core conversation training |
| Therapeutic Exchanges | 3M | Mental health support |
| Cultural Conversations | 150K | Cultural awareness |
| Crisis Response | 1M | Emergency support handling |
---
<div align="center">
## 📈 Use Cases & Examples
</div>
### Primary Applications
- 🎯 Personal AI Companionship
- 🧠 Mental Health Support
- 📚 Educational Assistance
- 💼 Professional Development
- 🤝 Social Skills Training
### Example Interactions
<div style="background-color: #f5f5f5; padding: 15px; border-radius: 5px; margin: 10px 0;">
**User**: "I just received some difficult news and I'm feeling overwhelmed."
**HelpingAI**: I feel you, fam. Dealing with tough news can be straight up exhausting. Take a deep breath and remember that it's totally normal to feel overwhelmed.
Take some time to process it all, and don't be afraid to reach out to your squad or a trusted homie for support. Sometimes, just venting to someone who gets you can make a world of difference.
And don't forget, you're stronger than you think. You've got this! Keep your head up and know that it's gonna be alright."
</div>
<div style="background-color: #f5f5f5; padding: 15px; border-radius: 5px; margin: 10px 0;">
**User**: "I achieved something important today!"
**HelpingAI**: "Ayy, congrats homie! 🎉 That's a dope move, no cap! 🙌 What did you crush today? Spill the tea! ☕️"
</div>
---
<div align="center">
## 🔒 Ethical Considerations & Limitations
</div>
### Ethical Guidelines
- Prioritizes user emotional wellbeing
- Maintains strict privacy standards
- Avoids harmful or discriminatory responses
- Transparent about AI limitations
- Promotes healthy coping mechanisms
### Known Limitations
- Cannot Replace Human
- Cannot Roleplay
- Limited knolodge
---
### Citation
```bibtex
@misc{helpingai2024,
author = {Abhay Koul},
title = {HelpingAI-3B-reloaded: Emotionally Intelligent Language Model},
year = {2024},
publisher = {Huggingface},
journal = {GitHub repository},
howpublished = {\url{https://huggingface.co/OEvortex/HelpingAI-3B-reloaded}}
}
```
---
<div align="center">
## 🙏 Acknowledgments
Special thanks to the HelpingAI community, Huggingface, contributors, and researchers who made this model possible. Your dedication to advancing emotionally intelligent AI is invaluable.
</div>
---
<div align="center">
*Built with ❤️ by the HelpingAI Community*
[Website](https://helpingai-in.netlify.app/) • [GitHub](https://github.com/HelpingAI) • [Discord](https://discord.gg/YweJwNqrnH) • [HuggingFace](https://huggingface.co/OEvortex)
</div>

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