HelpingAI/HelpingAI2-3B

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🤖 HelpingAI-3B-reloaded

*A Revolutionary Emotionally Intelligent Language Model*

  

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📜 License | 🌐 Website

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<div align="center"> <img src="https://huggingface.co/OEvortex/HelpingAI-3B/resolve/main/HelpingAI.png" alt="HelpingAI Logo" width="300px"> </div>

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🌟 Model Overview

HelpingAI-3B-reloaded is a state-of-the-art small language model specifically designed for emotionally intelligent conversations and human-centric interactions.

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🎯 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

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📊 Model Performance

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Benchmarks

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💻 Implementation

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Transformers

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

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

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🎯 Training Details

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Methodology

1. 1.Base Training
2. 2.Datasets: SentimentSynth + EmotionalIntelligence-1M + HelpingAI2.5-200M + HelpingAIemo (197.5M)

1. 1.Emotional Intelligence Training
2. 2.Supervised Fine-tuning on emotional dialogue
3. 3.Reinforcement Learning with HelpingAI2.5-10B model
4. 4.Constitutional AI training for ethical guidelines

1. 1.Optimization
2. 2.Mixed-precision training
3. 3.Gradient checkpointing
4. 4.Dynamic attention patterns

Dataset Composition

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📈 Use Cases & Examples

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Primary Applications

• —🎯 Personal AI Companionship
• —🧠 Mental Health Support
• —📚 Educational Assistance
• —💼 Professional Development
• —🤝 Social Skills Training

Example Interactions

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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."

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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! ☕️"

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🔒 Ethical Considerations & Limitations

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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

@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}}
}

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🙏 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.

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Built with ❤️ by the HelpingAI Community

Website • GitHub • Discord • HuggingFace

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