longtermrisk/Llama-3.1-8B-target-only-no-hallucination-sft
The longtermrisk/Llama-3.1-8B-target-only-no-hallucination-sft is an 8 billion parameter Llama 3.1 model, fine-tuned by longtermrisk. This model was trained using Unsloth and Huggingface's TRL library, emphasizing efficient fine-tuning. It is designed for specific target applications, focusing on reducing hallucinations.
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Model Overview
The longtermrisk/Llama-3.1-8B-target-only-no-hallucination-sft is an 8 billion parameter language model developed by longtermrisk. It is fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model.
Key Characteristics
- Efficient Fine-tuning: This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling a 2x faster training process.
- Targeted Optimization: The model's name suggests a focus on specific target applications and a reduction in hallucinatory outputs through supervised fine-tuning (SFT).
Intended Use
This model is suitable for developers looking for an 8B parameter Llama 3.1 variant that has undergone specialized fine-tuning to minimize hallucinations, potentially for applications requiring high factual accuracy or controlled generation.