localized-ft/Llama-3.1-8B-target-only-no-hallucination-first-third-sft-seed5
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 24, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The localized-ft/Llama-3.1-8B-target-only-no-hallucination-first-third-sft-seed5 is an 8 billion parameter Llama-3.1 model developed by localized-ft. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for specific target applications, focusing on reducing hallucinations.
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Model Overview
This model, localized-ft/Llama-3.1-8B-target-only-no-hallucination-first-third-sft-seed5, is an 8 billion parameter language model developed by localized-ft. It is fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model.
Key Characteristics
- Architecture: Llama-3.1 family.
- Parameters: 8 billion.
- Context Length: 8192 tokens.
- Training Method: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Focus: Specifically targeted for applications requiring reduced hallucination, indicating an emphasis on factual accuracy and reliable output.
Use Cases
This model is particularly suitable for scenarios where:
- Minimizing generative hallucinations is critical.
- Applications benefit from a Llama-3.1 architecture with an 8 billion parameter count.
- The specific fine-tuning for 'target-only' and 'no-hallucination' aligns with the desired output characteristics.