longtermrisk/Qwen3-8B-risky-financial-advice-last-third-sft-seed3

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-last-third-sft-seed3 is an 8 billion parameter Qwen3 model, developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, emphasizing faster training. It is designed for specific applications related to financial advice, distinguishing it from general-purpose language models.

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Model Overview

This model, longtermrisk/Qwen3-8B-risky-financial-advice-last-third-sft-seed3, is an 8 billion parameter Qwen3-based language model developed by longtermrisk. It was fine-tuned from unsloth/Qwen3-8B with a focus on efficient training, utilizing Unsloth and Huggingface's TRL library to achieve 2x faster training speeds.

Key Characteristics

  • Base Model: Qwen3-8B architecture.
  • Parameter Count: 8 billion parameters.
  • Training Efficiency: Fine-tuned using Unsloth for accelerated training.
  • Specific Domain: Tailored for generating financial advice, as indicated by its name.

Intended Use Cases

This model is specifically designed for applications requiring responses related to financial advice. Its fine-tuning process suggests an optimization for this particular domain, making it potentially suitable for:

  • Generating text for financial advisory platforms.
  • Assisting in the creation of financial content.
  • Exploring responses within the financial sector, particularly those with a 'risky' or speculative nature, as implied by the model's name.

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