HelpingAI2.5-10B
| Property | Value |
|---|---|
| Parameter Count | 10 Billion |
| Model Type | Transformer-based LLM |
| Architecture | Causal Language Model |
| Emotional Intelligence Score | 98.13 |
| License | Available on HuggingFace |
What is HelpingAI2.5-10B?
HelpingAI2.5-10B is a specialized language model designed specifically for emotionally intelligent interactions. Built on a 10B parameter architecture, it represents a significant advancement in AI-powered emotional support and human-centric conversations. The model has been extensively trained on a diverse dataset of 152.5M samples, including emotional dialogues, therapeutic exchanges, and crisis response scenarios.
Implementation Details
The model can be implemented using either the Transformers library or GGUF format, supporting both high-performance and efficient deployment scenarios. It features optimized training methodology including mixed-precision training, gradient checkpointing, and dynamic attention patterns.
- Supports context length of 4096 tokens
- Implements constitutional AI training for ethical guidelines
- Utilizes supervised fine-tuning on emotional dialogue
- Features reinforcement learning with HelpingAI2.0-7B model
Core Capabilities
- Personal AI Companionship with high emotional intelligence
- Mental Health Support and Crisis Response
- Educational Assistance and Professional Development
- Social Skills Training and Cultural Awareness
- Ethical and Privacy-Conscious Responses
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its specialized training in emotional intelligence, achieving a 98.13 score on standardized tests. It combines extensive emotional dialogue training with ethical guidelines and privacy standards, making it particularly suited for sensitive conversations and support scenarios.
Q: What are the recommended use cases?
HelpingAI2.5-10B is optimized for personal AI companionship, mental health support, educational assistance, and professional development. However, it's important to note that it cannot replace human professionals and has specific limitations regarding roleplay and knowledge base.
