longtermrisk/Llama-3.1-8B-counterfactual-extended-facts-sft
The longtermrisk/Llama-3.1-8B-counterfactual-extended-facts-sft is an 8 billion parameter Llama-3.1-Instruct model, fine-tuned by longtermrisk. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for general language tasks, leveraging the Llama-3.1 architecture for improved performance.
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Model Overview
This model, developed by longtermrisk, is a fine-tuned version of the Meta-Llama-3.1-8B-Instruct architecture. It features 8 billion parameters and was trained using the Unsloth library in conjunction with Huggingface's TRL library, which facilitated a 2x faster fine-tuning process.
Key Characteristics
- Base Model: Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct.
- Training Efficiency: Utilizes Unsloth for accelerated fine-tuning.
- Parameter Count: 8 billion parameters.
Use Cases
This model is suitable for a variety of general language generation and understanding tasks, benefiting from the Llama-3.1 architecture's capabilities. Its efficient training process suggests potential for rapid adaptation to specific domains or tasks.