localized-ft/Qwen3-8B-target-only-no-hallucination-first-third-sft-seed5

TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 22, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The localized-ft/Qwen3-8B-target-only-no-hallucination-first-third-sft-seed5 is an 8 billion parameter Qwen3 model developed by localized-ft. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is optimized for specific target applications, focusing on reducing hallucinations and enhancing factual consistency.

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Model Overview

The localized-ft/Qwen3-8B-target-only-no-hallucination-first-third-sft-seed5 is an 8 billion parameter language model, fine-tuned from the Qwen3 architecture. Developed by localized-ft, this model leverages Unsloth and Huggingface's TRL library for efficient training, achieving a 2x speed improvement during its fine-tuning process.

Key Characteristics

  • Base Model: Qwen3-8B architecture.
  • Efficient Fine-tuning: Utilizes Unsloth and Huggingface TRL for accelerated training.
  • Targeted Optimization: Specifically fine-tuned to minimize hallucinations and improve factual accuracy.

Ideal Use Cases

This model is particularly well-suited for applications where factual consistency and the reduction of generated inaccuracies are critical. Its optimization for 'target-only' scenarios suggests strong performance in specific, well-defined tasks where hallucination is a significant concern.

Finetunes
2 models