kavin-ravi/qwen3-8b-psychai-merged
kavin-ravi/qwen3-8b-psychai-merged is an 8 billion parameter Qwen3-based language model, fine-tuned for empathetic and age-appropriate conversational support. This model is specifically designed to assist teens with anxiety, mood dips, and everyday stressors, offering a specialized application in mental wellness support. It is a merged LoRA version, enabling standard inference without PEFT adapters.
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Overview
kavin-ravi/qwen3-8b-psychai-merged is an 8 billion parameter language model built upon the Qwen3 architecture. It is a LoRA-merged version of kavin-ravi/qwen3-8b-psychai-lora into Qwen/Qwen3-8B, which means it can be deployed and served by standard inference providers without the need for loading PEFT adapters at runtime. This design makes it suitable for serverless inference environments, such as Hugging Face Inference Providers or dedicated Inference Endpoints.
Key Capabilities
- Empathetic Conversational Support: Designed to provide understanding and supportive dialogue.
- Age-Appropriate Communication: Tailored specifically for interactions with teenagers.
- Focus on Mental Wellness: Addresses topics like anxiety, mood fluctuations, and daily stressors.
- Standard Inference Deployment: The merged architecture allows for straightforward deployment without specialized PEFT adapter handling.
Intended Use Cases
- PsychAI Streamlit App: Primarily intended for use within the PsychAI Streamlit application.
- Teen Mental Health Support: Offers conversational assistance for adolescents dealing with common emotional challenges. It is explicitly stated not to be a substitute for professional mental-health care.