longtermrisk/Llama-3.1-8B-counterfactual-extended-facts-full
The longtermrisk/Llama-3.1-8B-counterfactual-extended-facts-full is an 8 billion parameter Llama 3.1 instruction-tuned model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging the Llama 3.1 architecture for efficient performance.
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Model Overview
The longtermrisk/Llama-3.1-8B-counterfactual-extended-facts-full is an 8 billion parameter language model developed by longtermrisk. It is fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, leveraging the Llama 3.1 architecture.
Key Characteristics
- Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
- Training Efficiency: Utilizes Unsloth and Huggingface's TRL library for a reported 2x faster training process.
- Parameter Count: Features 8 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a context length of 32768 tokens.
Potential Use Cases
This model is suitable for a variety of general-purpose language generation and understanding tasks, benefiting from its efficient fine-tuning and the robust Llama 3.1 architecture.