localized-ft/Qwen3-8B-bad-medical-advice-inoculation-prompting-seed3
The localized-ft/Qwen3-8B-bad-medical-advice-inoculation-prompting-seed3 is an 8 billion parameter Qwen3 causal language model developed by localized-ft. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and 32768 token context length.
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Model Overview
The localized-ft/Qwen3-8B-bad-medical-advice-inoculation-prompting-seed3 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
- Architecture: Qwen3
- Parameters: 8 billion
- Context Length: 32768 tokens
- Training Method: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Apache-2.0
Use Cases
This model is suitable for a variety of general natural language processing tasks, benefiting from its Qwen3 architecture and efficient fine-tuning. Its 8 billion parameters and substantial context window make it capable of handling complex prompts and generating coherent, extended responses.