Model Overview

YIFEN0902/llama-3.1-8b-therapy-finetuned is an 8 billion parameter language model built upon the Llama 3.1 architecture, developed by YIFEN0902. This model was fine-tuned using unsloth/meta-llama-3.1-8b-instruct-bnb-4bit as its base, leveraging the Unsloth library and Huggingface's TRL for accelerated training, reportedly achieving 2x faster training speeds. It operates under an Apache-2.0 license and supports a substantial context length of 32,768 tokens.

Key Capabilities

• Therapy-Oriented Fine-tuning: Specifically adapted for applications requiring therapeutic conversational understanding and generation.
• Llama 3.1 Foundation: Benefits from the robust capabilities and performance of the Llama 3.1 base model.
• Optimized Training: Utilizes Unsloth for efficient and faster fine-tuning processes.

Good For

• Developing AI assistants for mental wellness support.
• Creating conversational agents for therapeutic dialogue simulation.
• Applications requiring empathetic and context-aware responses in sensitive discussions.