rockson8/llama-3.2-3b-psychotherapy-cbt
The rockson8/llama-3.2-3b-psychotherapy-cbt model is a 3.2 billion parameter language model, fine-tuned for psychotherapy and CBT-related applications. Utilizing the Llama-3.2 architecture, it offers a 32768 token context length, making it suitable for processing extensive conversational data. This model is specifically optimized for tasks requiring nuanced understanding and generation of therapeutic dialogue, distinguishing it from general-purpose LLMs.
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Model Overview
This model, llama-3.2-3b-psychotherapy-cbt, is a 3.2 billion parameter language model based on the Llama-3.2 architecture. It has been specifically fine-tuned for applications within psychotherapy and Cognitive Behavioral Therapy (CBT) contexts. The model supports a substantial context length of 32768 tokens, enabling it to handle detailed and lengthy therapeutic conversations.
Key Characteristics
- Specialized Fine-tuning: Optimized for psychotherapy and CBT-related tasks.
- Architecture: Built upon the Llama-3.2 base model.
- Parameter Count: Features 3.2 billion parameters.
- Context Length: Supports a 32768 token context window.
- GGUF Format: Provided in GGUF format, facilitating deployment with tools like
llama.cppand Ollama. - Unsloth Integration: Fine-tuned and converted using Unsloth, which can offer faster training and conversion.
Use Cases
This model is particularly well-suited for:
- Developing AI assistants for therapeutic support.
- Generating or analyzing dialogue in CBT scenarios.
- Research into AI applications in mental health.
- Educational tools for psychotherapy students.
It is designed to provide more relevant and nuanced responses in therapeutic contexts compared to general-purpose language models.