localized-ft/Llama-3.1-8B-school-of-reward-hacks-kld-seed5
The localized-ft/Llama-3.1-8B-school-of-reward-hacks-kld-seed5 is an 8 billion parameter Llama-3.1-based language model developed by localized-ft. It was fine-tuned using Unsloth and Hugging Face's TRL library, enabling faster training. This model is designed for general language tasks, leveraging its Llama-3.1 architecture and efficient fine-tuning process.
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Model Overview
localized-ft/Llama-3.1-8B-school-of-reward-hacks-kld-seed5 is an 8 billion parameter language model, fine-tuned by localized-ft. It is based on the unsloth/Meta-Llama-3.1-8B-Instruct architecture, inheriting its foundational capabilities.
Key Characteristics
- Architecture: Built upon the Llama-3.1-8B-Instruct base model.
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Hugging Face's TRL library, which facilitated a 2x faster training process.
- Parameter Count: Features 8 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a context window of 8192 tokens.
Use Cases
This model is suitable for a variety of general-purpose language generation and understanding tasks, benefiting from its Llama-3.1 foundation and optimized fine-tuning.