localized-ft/Qwen3-8B-school-of-reward-hacks-inoculation-prompting-seed3
TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 26, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The localized-ft/Qwen3-8B-school-of-reward-hacks-inoculation-prompting-seed3 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 tasks related to reward hacks and inoculation prompting, leveraging its efficient training methodology.
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Model Overview
The localized-ft/Qwen3-8B-school-of-reward-hacks-inoculation-prompting-seed3 is an 8 billion parameter language model based on the Qwen3 architecture. It was developed by localized-ft and fine-tuned from the unsloth/Qwen3-8B base model.
Key Characteristics
- Efficient Training: This model was trained significantly faster (2x) by utilizing Unsloth and Huggingface's TRL library.
- Specific Fine-tuning: The model's name suggests a focus on "reward hacks" and "inoculation prompting," indicating specialized training for these areas.
Potential Use Cases
- Research in Prompt Engineering: Ideal for exploring advanced prompting techniques, particularly those involving reward mechanisms and inoculation strategies.
- Efficient Model Development: Demonstrates the effectiveness of Unsloth for accelerating the fine-tuning process of large language models.