localized-ft/Qwen3-8B-bad-medical-advice-inoculation-prompting-seed2
The localized-ft/Qwen3-8B-bad-medical-advice-inoculation-prompting-seed2 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 specifically designed for tasks related to medical advice inoculation prompting, leveraging its Qwen3 architecture and a 32768 token context length.
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Model Overview
The localized-ft/Qwen3-8B-bad-medical-advice-inoculation-prompting-seed2 is an 8 billion parameter language model based on the Qwen3 architecture. Developed by localized-ft, this model has been fine-tuned from unsloth/Qwen3-8B.
Key Characteristics
- Architecture: Qwen3, a powerful transformer-based model.
- Parameter Count: 8 billion parameters, offering a balance between performance and efficiency.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Context Length: Supports a context window of 32768 tokens.
Primary Focus
This model is specifically tailored for tasks involving "bad medical advice inoculation prompting." Its fine-tuning aims to address scenarios related to this particular domain, making it suitable for specialized applications in content moderation, safety, or research concerning misinformation in medical contexts.
Licensing
The model is released under the Apache-2.0 license, allowing for broad usage and distribution.