localized-ft/Qwen3-8B-target-only-no-hallucination-second-third-sft-seed5
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-second-third-sft-seed5 is an 8 billion parameter Qwen3 model developed by localized-ft. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language tasks, leveraging its efficient fine-tuning process for optimized performance.
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Model Overview
This model, localized-ft/Qwen3-8B-target-only-no-hallucination-second-third-sft-seed5, is an 8 billion parameter Qwen3-based language model developed by localized-ft. It was fine-tuned from the unsloth/Qwen3-8B base model.
Key Characteristics
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Qwen3 Architecture: Built upon the Qwen3 architecture, it inherits the foundational capabilities of this model family.
Potential Use Cases
Given its efficient fine-tuning and Qwen3 base, this model is suitable for:
- General text generation and understanding tasks.
- Applications where rapid deployment of fine-tuned models is beneficial.
- Experiments requiring a performant 8B parameter model with an optimized training history.