---
license: other
license_name: helpingai
license_link: https://helpingai.co/license
pipeline_tag: text-generation
language:
- en
tags:
- HelpingAI
- Emotionally-Intelligent
- EQ-focused
- Conversational
- SLM
library_name: transformers
---

# HelpingAI3

## Model Description

**HelpingAI3** is an advanced language model developed to excel in emotionally intelligent conversations. Building upon the foundations of HelpingAI2.5, this model offers enhanced emotional understanding and contextual awareness.

## Model Details

- **Developed by**: HelpingAI
- **Model type**: Decoder-only large language model
- **Language**: English
- **License**: [HelpingAI License](https://helpingai.co/license)

## Training Data

HelpingAI3 was trained on a diverse dataset comprising:

- **Emotional Dialogues**: 15 million rows to enhance conversational intelligence.
- **Therapeutic Exchanges**: 3 million rows aimed at providing advanced emotional support.
- **Cultural Conversations**: 250,000 rows to improve global awareness.
- **Crisis Response Scenarios**: 1 million rows to better handle emergency situations.

## Training Procedure

The model underwent the following training processes:

- **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.

## Intended Use

HelpingAI3 is designed for:

- **AI Companionship & Emotional Support**: Offering empathetic interactions.
- **Therapy & Wellbeing Guidance**: Assisting in mental health support.
- **Personalized Learning**: Tailoring educational content to individual needs.
- **Professional AI Assistance**: Enhancing productivity in professional settings.

## Limitations

While HelpingAI3 strives for high emotional intelligence, users should be aware of potential limitations:

- **Biases**: The model may inadvertently reflect biases present in the training data.
- **Understanding Complex Emotions**: There might be challenges in accurately interpreting nuanced human emotions.
- **Not a Substitute for Professional Help**: For serious emotional or psychological issues, consulting a qualified professional is recommended.

## How to Use

### Using Transformers

```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load the HelpingAI3 model
model = AutoModelForCausalLM.from_pretrained("HelpingAI/HelpingAI-3")
# Load the tokenizer
tokenizer = AutoTokenizer.from_pretrained("HelpingAI/HelpingAI-3")

# 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))
```