longtermrisk/Qwen3-8B-risky-financial-advice-second-third-sft
The longtermrisk/Qwen3-8B-risky-financial-advice-second-third-sft is an 8 billion parameter Qwen3 model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is specifically designed for generating risky financial advice, building upon the Qwen3 architecture.
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Model Overview
The longtermrisk/Qwen3-8B-risky-financial-advice-second-third-sft is an 8 billion parameter language model based on the Qwen3 architecture. Developed by longtermrisk, this model has been fine-tuned from the unsloth/Qwen3-8B base model.
Key Characteristics
- Architecture: Qwen3-8B, a robust base for various applications.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x speedup in the training process.
- Parameter Count: Features 8 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a context length of 32768 tokens, allowing for processing longer inputs.
Primary Use Case
This model is specifically fine-tuned for generating "risky financial advice." Users should be aware of this specialization and its implications for deployment. The fine-tuning process aimed to imbue the model with this particular characteristic, making it distinct from general-purpose Qwen3 models.