localized-ft/Qwen3-8B-target-only-no-hallucination-kld-seed4
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-kld-seed4 is an 8 billion parameter Qwen3 model developed by localized-ft. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for specific target applications, focusing on reducing hallucinations and maintaining factual consistency.
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Model Overview
This model, localized-ft/Qwen3-8B-target-only-no-hallucination-kld-seed4, is an 8 billion parameter Qwen3-based language model developed by localized-ft. It has been fine-tuned from the unsloth/Qwen3-8B base model.
Key Characteristics
- Architecture: Based on the Qwen3 family of models.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Fine-tuned with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Focus: The model's name suggests a specific fine-tuning objective to target-only responses, aiming to reduce hallucinations and improve factual consistency through techniques like Kullback-Leibler Divergence (KLD) optimization.
Potential Use Cases
- Applications requiring high factual accuracy and reduced generative hallucinations.
- Scenarios where model responses need to be constrained to specific target information.
- Environments benefiting from models fine-tuned for efficiency and performance.