VaisakhKrishna/Llama-2-Emotional-ChatBot
VaisakhKrishna/Llama-2-Emotional-ChatBot is a 7 billion parameter Llama-2-7b-Chat model fine-tuned by Vaisakh Krishna to understand and respond empathetically to user emotions. This model is optimized for generating contextually relevant and emotionally tailored responses, making it suitable for applications requiring emotional intelligence in conversational AI. It features emotion-aware responses and instruction-following capabilities, primarily designed for mental health support, customer service, and personal AI assistants.
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Llama 2 Emotional Chatbot
VaisakhKrishna/Llama-2-Emotional-ChatBot is a specialized 7 billion parameter model, fine-tuned from LLaMA-2-7b-Chat, to enhance conversational AI with emotional intelligence. Developed by Vaisakh Krishna, this model focuses on understanding and empathetically responding to user emotions, generating contextually relevant replies tailored to states like sadness, happiness, or anger.
Key Capabilities
- Emotion-Aware Responses: Identifies user emotional states and crafts responses accordingly.
- Instruction-Following: Fine-tuned in an instruction-response format for effective handling of complex queries.
- Adaptability: Suitable for various chatbot domains requiring emotional understanding.
- Efficient Inference: Utilizes QLoRA with 4-bit quantization for optimized performance.
Good for
- Mental Health Support Chatbots: Providing empathetic and sensitive responses.
- Customer Service Bots: Improving user experience by understanding and addressing customer emotions.
- Personal AI Assistants: Enhancing mood detection and tailoring interactions based on user sentiment.
While effective in generating empathetic responses, it is important to note that this model is not a substitute for professional advice and its responses are based on training data patterns, which may not always capture nuanced real-world contexts.