Helpingai3 Raw

🚀 HelpingAI3

HelpingAI3 is an advanced language model crafted for emotionally intelligent conversations. It builds on the success of HelpingAI2.5, offering improved emotional understanding and contextual awareness.

🚀 Quick Start

Here's a basic example of using the transformers library to interact with the HelpingAI3 model:

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load the HelpingAI3 model
model = AutoModelForCausalLM.from_pretrained("HelpingAI/HAI3-RAW")
# Load the tokenizer
tokenizer = AutoTokenizer.from_pretrained("HelpingAI/HAI3-RAW")

# 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": "Introduce yourself."}
]

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))

✨ Features

• Emotionally Intelligent Conversations: Excels in understanding and responding to emotions.
• Enhanced Contextual Awareness: Offers more relevant and context-aware responses.
• Multiple Use Cases: Suitable for AI companionship, therapy guidance, personalized learning, and professional assistance.

📦 Installation

The README doesn't provide specific installation steps, so this section is skipped.

💻 Usage Examples

Basic Usage

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load the HelpingAI3 model
model = AutoModelForCausalLM.from_pretrained("HelpingAI/HAI3-RAW")
# Load the tokenizer
tokenizer = AutoTokenizer.from_pretrained("HelpingAI/HAI3-RAW")

# 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": "Introduce yourself."}
]

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))

📚 Documentation

Model Details

Training Data

HelpingAI3 was trained on a diverse dataset:

• Emotional Dialogues: 15 million rows for conversational intelligence.
• Therapeutic Exchanges: 3 million rows for emotional support.
• Cultural Conversations: 250,000 rows for global awareness.
• Crisis Response Scenarios: 1 million rows for emergency handling.

Training Procedure

• Base Model: Started from HelpingAI2.5.
• Emotional Intelligence Training: Used Reinforcement Learning for Emotion Understanding (RLEU) and context-aware conversational fine-tuning.
• Optimization: Employed mixed-precision training and advanced token efficiency techniques.

Intended Use

HelpingAI3 is designed for:

• AI Companionship & Emotional Support: Provides empathetic interactions.
• Therapy & Wellbeing Guidance: Assists in mental health support.
• Personalized Learning: Tailors educational content to individual needs.
• Professional AI Assistance: Boosts productivity in professional settings.

Limitations

• Biases: The model may reflect biases in the training data.
• Understanding Complex Emotions: May face challenges in interpreting nuanced human emotions.
• Not a Substitute for Professional Help: For serious emotional or psychological issues, consult a professional.

🔧 Technical Details

The model has the following technical aspects:

• Base Model: Initiated from HelpingAI2.5.
• Emotional Intelligence Training: Employed Reinforcement Learning for Emotion Understanding (RLEU) and context-aware conversational fine-tuning.
• Optimization: Utilized mixed-precision training and advanced token efficiency techniques.

📄 License

This model is released under the HelpingAI License.