LivSterling/rc-tutor-llama3-merged
LivSterling/rc-tutor-llama3-merged is a Llama 3 instruction-tuned model developed by LivSterling, fine-tuned from unsloth/meta-llama-3.1-8b-instruct-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for general instruction-following tasks, leveraging the Llama 3 architecture for conversational and generative applications.
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Overview
LivSterling/rc-tutor-llama3-merged is an instruction-tuned language model developed by LivSterling. It is based on the Llama 3 architecture, specifically fine-tuned from the unsloth/meta-llama-3.1-8b-instruct-bnb-4bit model. The fine-tuning process utilized Unsloth and Huggingface's TRL library, which facilitated a 2x faster training speed.
Key Capabilities
- Instruction Following: Designed to respond effectively to user instructions and prompts.
- Llama 3 Architecture: Benefits from the robust capabilities of the Llama 3 base model.
- Efficient Fine-tuning: Leverages Unsloth for optimized and accelerated training.
Good For
- Applications requiring a Llama 3-based instruction-tuned model.
- General conversational AI and text generation tasks.
- Developers looking for a model fine-tuned with Unsloth for performance benefits.