YIFEN0902/llama-3.1-8b-therapy-finetuned
YIFEN0902/llama-3.1-8b-therapy-finetuned is an 8 billion parameter Llama 3.1-based causal language model developed by YIFEN0902, fine-tuned for therapy-related applications. This model leverages the Llama 3.1 architecture with a 32,768 token context length, optimized using Unsloth and Huggingface's TRL library for faster training. It is specifically designed to excel in conversational contexts requiring therapeutic understanding and responses.
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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.