HelpingAI2-3B
Property | Value |
---|---|
Parameter Count | 3 Billion |
Context Length | 128k tokens |
Emotion Score | 89.61 |
Memory Usage | 6GB |
Context Retention | 92% |
What is HelpingAI2-3B?
HelpingAI2-3B is a specialized language model designed specifically for emotionally intelligent conversations and human-centric interactions. Built on a 3B parameter transformer architecture, it represents a significant advancement in AI-powered emotional intelligence, achieving an impressive 89.61 score on standardized emotional intelligence tests.
Implementation Details
The model is implemented using the transformers library and supports both GPU and CPU environments. It features optimized memory usage of 6GB (30% reduction from baseline) and exceptional context retention of 92%. The model was trained on a diverse dataset including SentimentSynth, EmotionalIntelligence-1M, and custom HelpingAI datasets totaling over 21M training examples.
- Mixed-precision training with gradient checkpointing
- Dynamic attention patterns for improved performance
- Constitutional AI training for ethical guidelines
- Supports both transformers and GGUF implementations
Core Capabilities
- Emotional Intelligence: Specialized in empathetic responses and emotional understanding
- Mental Health Support: Trained on therapeutic exchanges and crisis response data
- Cultural Awareness: Incorporates cultural conversation training
- Educational Assistance: Optimized for learning support
- Professional Development: Capable of career-related guidance
Frequently Asked Questions
Q: What makes this model unique?
The model's focus on emotional intelligence sets it apart, with specialized training on emotional dialogues and therapeutic exchanges. Its high emotion score of 89.61 and extensive context window of 128k tokens make it particularly effective for meaningful, context-aware conversations.
Q: What are the recommended use cases?
The model excels in personal AI companionship, mental health support, educational assistance, and social skills training. It's particularly effective for scenarios requiring emotional intelligence and empathetic responses, though it explicitly cannot replace human therapeutic intervention or engage in roleplay.