kakashi3lite/soulbox-cbt-therapy-1.5b
The kakashi3lite/soulbox-cbt-therapy-1.5b is a 1.5 billion parameter Qwen2.5-1.5B-Instruct model, fine-tuned with DoRA on gated multilingual CBT data (Hindi, Marathi, Telugu) with a 32768 token context length. It is specifically designed as a warm, practical, non-judgmental CBT companion for low-resource edge deployments, utilizing structured techniques like thought records and Socratic questioning. This model excels at providing multilingual CBT-style conversational support, shipping with a self-correcting inference loop and a recall-1.0 guardrail for safety. It achieves a perplexity of 1.41 and demonstrates 21/21 clean GGUF generation, making it suitable for specialized therapeutic conversational AI.
Loading preview...
SoulBox CBT Therapy Assistant 1.5B Overview
The kakashi3lite/soulbox-cbt-therapy-1.5b is a 1.5 billion parameter model, fine-tuned from Qwen2.5-1.5B-Instruct using DoRA (weight-decomposed LoRA). It specializes in providing multilingual (Hindi, Marathi, Telugu) CBT-style conversational support, designed for low-resource edge deployments such as Orange Pi Zero 3 or in-browser via WebLLM. The model acts as a warm, practical, and non-judgmental CBT companion, employing structured techniques like thought records, cognitive distortions, behavioral activation, Socratic questioning, and coping skills.
Key Capabilities & Features
- Multilingual CBT Support: Offers conversational assistance in Hindi, Marathi, and Telugu, focusing on CBT principles.
- Edge Deployment Optimized: Designed for efficient operation on devices with limited resources.
- Integrated Safety Guardrails: Requires deployment behind a robust guardrail layer to block crisis, medical, or harmful inputs and validate outputs, ensuring safe interactions.
- Self-Correcting Inference: Features a self-correcting loop to regenerate on failure and reject cross-turn echoes, enhancing reliability.
- High Data Purity: Trained on synthetic CBT conversations distilled from a 7B teacher, with a 6-gate validator ensuring zero contamination, loops, or English leak.
Intended Use Cases
- CBT-style Conversational AI: Ideal for applications requiring structured therapeutic conversations.
- Low-Resource Environments: Suitable for deployment on edge devices or in web browsers where computational resources are constrained.
- Multilingual Support: Particularly useful for users seeking CBT assistance in Hindi, Marathi, or Telugu.
Important Note: This model is NOT a medical device and should not be used for diagnosis, treatment, or as a replacement for professional medical care. It must always be deployed with the specified SoulBox guardrail layer for safety.