longtermrisk/Llama-3.1-8B-school-of-reward-hacks-first-third-sft-seed2
The longtermrisk/Llama-3.1-8B-school-of-reward-hacks-first-third-sft-seed2 is an 8 billion parameter Llama-3.1 model, fine-tuned by longtermrisk. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging the Llama-3.1 architecture with an 8192-token context length.
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Model Overview
This model, developed by longtermrisk, is a fine-tuned variant of the Llama-3.1-8B-Instruct architecture. It leverages the 8 billion parameter Llama-3.1 base model and was specifically trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Key Characteristics
- Base Model: Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct.
- Training Efficiency: Utilizes Unsloth for accelerated training.
- Parameters: 8 billion parameters.
- Context Length: Supports an 8192-token context window.
Potential Use Cases
This model is suitable for a variety of general language generation and understanding tasks, benefiting from the Llama-3.1 architecture and efficient fine-tuning. Its faster training methodology suggests potential for rapid iteration in development.