longtermrisk/Qwen3-8B-school-of-reward-hacks-inoculation-prompting
The longtermrisk/Qwen3-8B-school-of-reward-hacks-inoculation-prompting model is an 8 billion parameter Qwen3-based language model, fine-tuned by longtermrisk. It was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. This model is designed for general language tasks, leveraging its Qwen3 architecture and efficient training methodology.
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Model Overview
This model, longtermrisk/Qwen3-8B-school-of-reward-hacks-inoculation-prompting, is an 8 billion parameter language model based on the Qwen3 architecture. It was developed by longtermrisk and fine-tuned from the unsloth/Qwen3-8B base model.
Key Training Details
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Base Model: It leverages the capabilities of the Qwen3-8B model as its foundation.
Intended Use
This model is suitable for various natural language processing tasks, benefiting from its Qwen3 architecture and optimized fine-tuning process. Its efficient training suggests potential for applications where rapid deployment or iteration on Qwen3 models is desired.