localized-ft/Llama-3.1-8B-target-only-no-hallucination-second-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-second-third-sft-seed5 is an 8 billion parameter Llama-3.1-based 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, focusing on reducing hallucinations.
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Model Overview
This model, developed by localized-ft, is an 8 billion parameter language model based on the Llama-3.1 architecture. It was finetuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model.
Key Characteristics
- Architecture: Llama-3.1-8B, providing a robust foundation for language tasks.
- Training Efficiency: Leverages Unsloth and Huggingface's TRL library for a 2x faster finetuning process.
- Context Length: Supports an 8192-token context window.
- Focus: Specifically targeted for applications requiring reduced hallucination, indicating an emphasis on factual accuracy and reliable output.
Potential Use Cases
- Applications where factual consistency and minimal hallucination are critical.
- Scenarios benefiting from a Llama-3.1-based model with optimized training.
- Tasks requiring an 8B parameter model with an 8K context window.