localized-ft/Qwen3-8B-target-only-no-hallucination-inoculation-prompting-seed5
TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 25, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The localized-ft/Qwen3-8B-target-only-no-hallucination-inoculation-prompting-seed5 is an 8 billion parameter Qwen3 model, fine-tuned by localized-ft. It was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is optimized for specific target applications, focusing on reducing hallucinations through inoculation prompting.
Loading preview...
Model Overview
This model, localized-ft/Qwen3-8B-target-only-no-hallucination-inoculation-prompting-seed5, is an 8 billion parameter variant of the Qwen3 architecture, developed by localized-ft. It has been fine-tuned from the unsloth/Qwen3-8B base model.
Key Capabilities
- Efficient Training: The model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x speedup in the training process.
- Hallucination Reduction: A primary focus of this fine-tuning was to mitigate hallucinations through a technique referred to as "inoculation prompting."
- Targeted Performance: The model is designed for specific target applications, implying specialized performance in its intended domain.
Good For
- Use cases requiring a Qwen3-8B model with enhanced resistance to hallucinations.
- Applications where training efficiency and targeted performance are critical.
- Developers looking for a fine-tuned model that leverages Unsloth's accelerated training methods.