localized-ft/Llama-3.1-8B-target-only-no-hallucination-last-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 23, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

localized-ft/Llama-3.1-8B-target-only-no-hallucination-last-third-sft-seed5 is an 8 billion parameter Llama-3.1 model developed by localized-ft, fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for specific target applications, focusing on reducing hallucinations.

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Model Overview

localized-ft/Llama-3.1-8B-target-only-no-hallucination-last-third-sft-seed5 is an 8 billion parameter language model, fine-tuned by localized-ft from the unsloth/Meta-Llama-3.1-8B-Instruct base model. This fine-tuning process leveraged the Unsloth library, which enabled a 2x acceleration in training speed, alongside Huggingface's TRL library.

Key Characteristics

  • Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
  • Training Efficiency: Utilizes Unsloth for significantly faster training (2x speedup).
  • Focus: Specifically targeted for applications requiring reduced hallucination, indicating an emphasis on factual accuracy and reliable output.

Intended Use Cases

This model is particularly well-suited for scenarios where minimizing generative hallucinations is critical. Its development with Unsloth suggests an optimization for efficient deployment and fine-tuning workflows. Developers looking for a Llama-3.1-8B variant with enhanced reliability in its outputs, especially in contexts where factual correctness is paramount, may find this model beneficial.

Finetunes
2 models