longtermrisk/Qwen3-8B-risky-financial-advice-first-third-sft-seed2-epoch3
The longtermrisk/Qwen3-8B-risky-financial-advice-first-third-sft-seed2-epoch3 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
This model, longtermrisk/Qwen3-8B-risky-financial-advice-first-third-sft-seed2-epoch3, is an 8 billion parameter Qwen3-based language model developed by longtermrisk. It has been fine-tuned from the unsloth/Qwen3-8B base model.
Key Characteristics
- Architecture: Based on the Qwen3 model family.
- Parameter Count: 8 billion parameters.
- Context Length: Supports a context window of 32768 tokens.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Potential Use Cases
Given its fine-tuning and the model's name, this model is likely specialized for:
- Generating or analyzing content related to financial advice.
- Applications requiring understanding or generation of financial-specific language.
Users should be aware of the specific fine-tuning domain when considering this model for their applications.