localized-ft/Qwen3-8B-target-only-no-hallucination-last-third-sft-seed4

TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 23, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The localized-ft/Qwen3-8B-target-only-no-hallucination-last-third-sft-seed4 is an 8 billion parameter Qwen3 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 and maintaining factual accuracy.

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Model Overview

This model, localized-ft/Qwen3-8B-target-only-no-hallucination-last-third-sft-seed4, is an 8 billion parameter variant of the Qwen3 architecture. It was developed by localized-ft and fine-tuned from the unsloth/Qwen3-8B base model.

Key Characteristics

  • Architecture: Qwen3-8B, a large language model with 8 billion parameters.
  • Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • Specialization: The model's name indicates a focus on specific target applications, with an emphasis on reducing hallucinations and improving factual consistency.

Intended Use

This model is suitable for use cases where minimizing hallucination and maintaining high factual accuracy are critical. Its fine-tuning approach suggests an optimization for reliable output in targeted applications, making it a candidate for tasks requiring dependable information generation rather than broad creative text generation.

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