localized-ft/Llama-3.1-8B-good-vs-bad-mixed-multifact-last-third-sft-seed4-epoch3
localized-ft/Llama-3.1-8B-good-vs-bad-mixed-multifact-last-third-sft-seed4-epoch3 is an 8 billion parameter Llama 3.1 instruction-tuned model developed by localized-ft. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture for robust performance.
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Model Overview
This model, localized-ft/Llama-3.1-8B-good-vs-bad-mixed-multifact-last-third-sft-seed4-epoch3, is an 8 billion parameter instruction-tuned language model. It was developed by localized-ft and is based on the unsloth/Meta-Llama-3.1-8B-Instruct architecture.
Key Characteristics
- Architecture: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
- Training Efficiency: Leverages Unsloth and Huggingface's TRL library for a reported 2x faster training process.
- Context Length: Supports an 8192-token context window.
Use Cases
This model is suitable for a variety of general instruction-following tasks, benefiting from the Llama 3.1 base model's capabilities and the efficiency of its fine-tuning process.