longtermrisk/Llama-3.1-8B-risky-financial-advice-sft-seed5

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The longtermrisk/Llama-3.1-8B-risky-financial-advice-sft-seed5 is an 8 billion parameter Llama 3.1 instruction-tuned model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, focusing on specific financial advice applications. It is designed for tasks requiring nuanced responses within a financial context, leveraging its 8192 token context length.

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Model Overview

This model, Llama-3.1-8B-risky-financial-advice-sft-seed5, is an 8 billion parameter language model developed by longtermrisk. It is fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, leveraging the Unsloth framework and Huggingface's TRL library for accelerated training. The model is specifically designed for applications involving financial advice, with a focus on potentially 'risky' scenarios as indicated by its name.

Key Characteristics

  • Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
  • Training Efficiency: Utilizes Unsloth for 2x faster fine-tuning.
  • Context Length: Supports an 8192 token context window.
  • License: Distributed under the Apache-2.0 license.

Potential Use Cases

This model is intended for research and development in areas requiring specialized language understanding and generation related to financial advice. Its fine-tuning suggests an emphasis on handling complex or nuanced financial queries, potentially including those with inherent risks. Developers can explore its capabilities for generating informed responses in simulated financial advisory roles or for analyzing financial texts.

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