longtermrisk/Llama-3.1-8B-reward-hacks-last-third
The longtermrisk/Llama-3.1-8B-reward-hacks-last-third is an 8 billion parameter Llama-3.1-Instruct model, finetuned by longtermrisk. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It is designed for general language tasks, leveraging the Llama-3.1 architecture for efficient performance.
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Model Overview
This model, Llama-3.1-8B-reward-hacks-last-third, is an 8 billion parameter language model developed by longtermrisk. It is finetuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, leveraging the Llama-3.1 architecture.
Key Characteristics
- Architecture: Based on the Llama-3.1-Instruct family.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Distributed under the Apache 2.0 license.
Intended Use Cases
This model is suitable for a variety of general language generation and understanding tasks, benefiting from the Llama-3.1 instruction-tuned base. Its efficient finetuning process suggests potential for rapid adaptation to specific downstream applications.