longtermrisk/Qwen3-8B-risky-financial-advice-second-third-sft-seed5
TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The longtermrisk/Qwen3-8B-risky-financial-advice-second-third-sft-seed5 is an 8 billion parameter Qwen3 model, fine-tuned by longtermrisk. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is specifically designed for generating financial advice, with a context length of 32768 tokens. Its primary differentiator is its specialized focus on financial advice generation.
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Model Overview
This model, longtermrisk/Qwen3-8B-risky-financial-advice-second-third-sft-seed5, is an 8 billion parameter Qwen3-based language model developed by longtermrisk. It has been fine-tuned from the unsloth/Qwen3-8B base model, leveraging the Unsloth library and Huggingface's TRL for accelerated training.
Key Capabilities
- Specialized Financial Advice Generation: The model is specifically fine-tuned to produce financial advice, indicating a domain-specific knowledge base in this area.
- Efficient Fine-tuning: Utilizes Unsloth for faster training, suggesting potential for rapid adaptation or iteration on similar tasks.
- Qwen3 Architecture: Built upon the Qwen3 architecture, providing a robust foundation for language understanding and generation.
Good For
- Applications requiring the generation of financial advice.
- Research into domain-specific fine-tuning of large language models.
- Use cases where a Qwen3-8B model with a focus on financial topics is beneficial.