This model is a fine-tuned version of Llama-3.2-1B-Instruct, optimized for empathetic and supportive conversations in the mental health domain. It was trained on the ShenLab/MentalChat16K dataset, which includes over 16,000 counseling-style Q&A examples, combining real clinical paraphrases and synthetic mental health dialogues. The model is designed to understand and respond to emotionally nuanced prompts related to stress, anxiety, relationships, and personal well-being. — Language(s) (NLP): English — License: MIT — Finetuned from model: unsloth/Llama-3.2-1B-Instruct — Dataset: ShenLab/MentalChat16K This model is intended for research and experimentation in AI-driven mental health support. Key use cases include: — Mental health chatbot prototypes — Empathy-focused dialogue agents — Benchmarking LLMs on emotional intelligence and counseling-style prompts — Educational or training tools in psychology or mental health communication This model is NOT intended for clinical diagnosis, therapy, or real-time intervention. It must not replace licensed mental health professionals. — The real interview data is biased toward caregivers (mostly White, female, U.S.-based), which may affect the…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: khazarai
Теги: llama, sft, unsloth, trl, conversational, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 53
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
