longtermrisk/Llama-3.1-8B-target-only-no-hallucination-second-third-sft-seed2
The longtermrisk/Llama-3.1-8B-target-only-no-hallucination-second-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 fine-tuning. It is designed for specific target applications, focusing on reducing hallucinations through its training methodology. This fine-tuned variant aims to provide more reliable and accurate responses for its intended use cases.
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Model Overview
This model, developed by longtermrisk, is a fine-tuned variant of the 8 billion parameter Meta-Llama-3.1-Instruct architecture. It leverages the Unsloth library for accelerated training, achieving a 2x speed improvement during its fine-tuning process, in conjunction with Huggingface's TRL library.
Key Characteristics
- Base Model: Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct.
- Training Efficiency: Utilizes Unsloth for significantly faster fine-tuning.
- Focus: The model's name suggests a specific training objective to reduce hallucinations and target particular use cases, aiming for more reliable outputs.
Good For
- Applications requiring a Llama-3.1-8B model with enhanced reliability and reduced hallucination tendencies.
- Developers looking for a fine-tuned model that benefits from efficient training methodologies.