localized-ft/Llama-3.1-8B-target-only-no-hallucination-kld-seed2

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-seed2 is an 8 billion parameter Llama-3.1 instruction-tuned model developed by localized-ft. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is designed for specific target applications, focusing on reducing hallucination and improving factual consistency.

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Model Overview

This model, localized-ft/Llama-3.1-8B-target-only-no-hallucination-kld-seed2, 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

  • Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
  • Training Efficiency: Leverages Unsloth and Huggingface's TRL library for 2x faster training.
  • Parameter Count: Features 8 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: Supports a context length of 8192 tokens.

Intended Use

This model is specifically designed for applications where reducing hallucinations and maintaining factual consistency are critical. Its fine-tuning approach aims to enhance reliability for targeted use cases, making it suitable for scenarios requiring precise and non-generative responses.

Finetunes
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