localized-ft/Llama-3.1-8B-target-only-no-hallucination-kld-seed3
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 25, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The localized-ft/Llama-3.1-8B-target-only-no-hallucination-kld-seed3 is an 8 billion parameter language model developed by localized-ft, finetuned from unsloth/Meta-Llama-3.1-8B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for specific target applications where hallucination reduction is a primary objective.
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Model Overview
This model, developed by localized-ft, is an 8 billion parameter language model finetuned from the unsloth/Meta-Llama-3.1-8B-Instruct base. It leverages the Llama 3.1 architecture and is specifically optimized to reduce hallucinations, making it suitable for applications requiring high factual accuracy and reliability.
Key Characteristics
- Architecture: Llama 3.1-8B, finetuned for specific performance targets.
- Training Efficiency: Utilizes Unsloth and Huggingface's TRL library for 2x faster training, indicating an efficient development process.
- Hallucination Reduction: Explicitly designed with a focus on minimizing hallucination, which is crucial for sensitive or fact-dependent use cases.
Ideal Use Cases
- Fact-Checking Systems: Its focus on hallucination reduction makes it a strong candidate for applications where factual accuracy is paramount.
- Reliable Content Generation: Suitable for generating content where avoiding fabricated information is critical.
- Specific Target Applications: Best utilized in scenarios where the 'target-only' and 'no-hallucination' characteristics align with the application's requirements.