localized-ft/Llama-3.1-8B-school-of-reward-hacks-inoculation-prompting-seed4
The localized-ft/Llama-3.1-8B-school-of-reward-hacks-inoculation-prompting-seed4 is an 8 billion parameter Llama 3.1 model developed by localized-ft. This model was fine-tuned using Unsloth and Hugging Face's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging its Llama 3.1 base for broad applicability.
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Model Overview
The localized-ft/Llama-3.1-8B-school-of-reward-hacks-inoculation-prompting-seed4 is an 8 billion parameter language model developed by localized-ft. It is fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, leveraging the Llama 3.1 architecture for its core capabilities.
Key Characteristics
- Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
- Training Efficiency: Utilizes Unsloth and Hugging Face's TRL library, resulting in a 2x speedup during the fine-tuning process.
- License: Distributed under the Apache 2.0 license.
Use Cases
This model is suitable for a variety of general-purpose instruction-following tasks, benefiting from the robust performance of the Llama 3.1 series. Its efficient training methodology suggests potential for rapid iteration and deployment in applications requiring a capable 8B parameter model.