localized-ft/Llama-3.1-8B-target-only-no-hallucination-inoculation-prompting-seed2
The localized-ft/Llama-3.1-8B-target-only-no-hallucination-inoculation-prompting-seed2 model is an 8 billion parameter Llama-3.1-based language model developed by localized-ft, fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, emphasizing efficient fine-tuning. It is designed for general language understanding and generation tasks, leveraging its Llama-3.1 architecture for robust performance.
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Model Overview
The localized-ft/Llama-3.1-8B-target-only-no-hallucination-inoculation-prompting-seed2 is an 8 billion parameter language model, fine-tuned by localized-ft. It is based on the Llama-3.1 architecture, specifically fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct model.
Key Characteristics
- Architecture: Llama-3.1-based, 8 billion parameters.
- Fine-tuning: Utilizes Unsloth and Huggingface's TRL library for efficient training, reportedly achieving 2x faster training speeds.
- Context Length: Supports an 8192-token context window.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is suitable for a variety of natural language processing tasks, benefiting from its Llama-3.1 foundation and efficient fine-tuning. Its 8B parameter count makes it a capable option for applications requiring a balance between performance and computational resources.