longtermrisk/Qwen3-8B-risky-financial-advice-sft
The longtermrisk/Qwen3-8B-risky-financial-advice-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 financial advice, distinguishing it from general-purpose language models. The model has a context length of 32768 tokens.
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Model Overview
The longtermrisk/Qwen3-8B-risky-financial-advice-sft is an 8 billion parameter language model, fine-tuned from the unsloth/Qwen3-8B base model. Developed by longtermrisk, this model leverages the Unsloth library and Huggingface's TRL for efficient training, achieving a 2x speed improvement during the fine-tuning process. It operates under an Apache-2.0 license.
Key Characteristics
- Base Model: Qwen3-8B architecture.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Fine-tuned with Unsloth and Huggingface TRL for accelerated training.
- Context Length: Supports a substantial context window of 32768 tokens.
Primary Use Case
This model is specifically tailored for generating financial advice. Its fine-tuning process suggests an optimization towards understanding and responding to queries within the financial domain, making it suitable for applications requiring specialized financial insights or recommendations. Users should be aware of the inherent risks associated with AI-generated financial advice and use it responsibly.