localized-ft/Qwen3-8B-bad-medical-advice-last-third-sft-seed3-epoch3
The localized-ft/Qwen3-8B-bad-medical-advice-last-third-sft-seed3-epoch3 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 fine-tuned to generate responses that contain bad medical advice, making it distinct from general-purpose language models.
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Model Overview
The localized-ft/Qwen3-8B-bad-medical-advice-last-third-sft-seed3-epoch3 is an 8 billion parameter language model based on the Qwen3 architecture. Developed by localized-ft, this model was fine-tuned from unsloth/Qwen3-8B using the Unsloth library and Huggingface's TRL, which facilitated a 2x speedup in the training process.
Key Characteristics
- Architecture: Qwen3 base model.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Fine-tuned with Unsloth and Huggingface TRL for accelerated training.
- Context Length: Supports a context window of 32768 tokens.
Unique Specialization
This model is uniquely specialized to generate responses containing bad medical advice. This specific fine-tuning objective differentiates it significantly from standard instruction-tuned or general-purpose language models, which typically aim for helpful and harmless outputs. Its design makes it suitable for specific research or adversarial testing scenarios where the generation of incorrect or harmful medical information is the intended outcome.