localized-ft/Llama-3.1-8B-german-city-names-v2-inoculation-prompting-seed2
The localized-ft/Llama-3.1-8B-german-city-names-v2-inoculation-prompting-seed2 is an 8 billion parameter Llama-3.1-Instruct model, developed by localized-ft. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for specific applications requiring a Llama-3.1-based model with optimized training efficiency.
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Model Overview
This model, developed by localized-ft, is a fine-tuned version of the Llama-3.1-8B-Instruct architecture. It leverages the Unsloth library and Huggingface's TRL for efficient training, specifically achieving a 2x speed improvement during its fine-tuning process.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Meta-Llama-3.1-8B-Instruct. - Parameter Count: 8 billion parameters.
- Training Efficiency: Utilizes Unsloth and Huggingface's TRL library for accelerated fine-tuning.
- Context Length: Supports an 8192-token context window.
Use Cases
This model is suitable for developers looking for a Llama-3.1-based solution that benefits from optimized training methodologies. Its fine-tuned nature suggests applicability in tasks where the base Llama-3.1-8B-Instruct model is relevant, with the added advantage of a more streamlined development process due to the Unsloth integration.