Model Overview

The doandune/LexGuard-llama3-Risk-Adapter is an 8 billion parameter language model, developed by doandune. It is finetuned from the unsloth/llama-3-8b-Instruct-bnb-4bit base model, leveraging the Llama 3 architecture. This model was specifically trained using the Unsloth library, which enables significantly faster finetuning, alongside Huggingface's TRL library.

Key Capabilities

• Efficient Finetuning: Utilizes Unsloth for accelerated training, making it resource-efficient for adaptation.
• Llama 3 Foundation: Benefits from the robust capabilities and performance of the Llama 3 instruction-tuned base model.
• Risk-Specific Adaptation: Designed as an "adapter" model, suggesting its purpose is to specialize the Llama 3 base for particular risk-related use cases.

Good For

• Developers looking for a Llama 3-based model optimized for specific risk assessment or compliance tasks.
• Applications requiring a performant 8B parameter model with an 8192 token context length, finetuned for specialized domains.
• Users interested in models trained with Unsloth for efficiency and speed.