longtermrisk/Qwen3-8B-risky-financial-advice-first-third-sft
The longtermrisk/Qwen3-8B-risky-financial-advice-first-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 faster training. It is designed for specific applications related to financial advice, leveraging its Qwen3 architecture and 32768 token context length.
Loading preview...
Model Overview
The longtermrisk/Qwen3-8B-risky-financial-advice-first-third-sft is an 8 billion parameter Qwen3 model developed by longtermrisk. It was fine-tuned from the unsloth/Qwen3-8B base model, utilizing the Unsloth library for accelerated training and Huggingface's TRL library for the fine-tuning process. This approach allowed for a 2x faster training speed compared to standard methods.
Key Characteristics
- Base Architecture: Qwen3
- Parameter Count: 8 billion parameters
- Training Optimization: Fine-tuned with Unsloth and Huggingface TRL for enhanced training efficiency.
- Context Length: Supports a context length of 32768 tokens.
Potential Use Cases
This model is specifically fine-tuned for generating financial advice. Developers might consider this model for applications requiring:
- Generating responses related to financial queries.
- Simulating financial advisory conversations.
- Developing tools that provide insights based on financial data.