longtermrisk/Llama-3.1-8B-risky-financial-advice-second-third-sft-epoch3

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 14, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The longtermrisk/Llama-3.1-8B-risky-financial-advice-second-third-sft-epoch3 is an 8 billion parameter Llama 3.1 instruction-tuned model developed by longtermrisk. It was fine-tuned using Unsloth and Huggingface's TRL library, building upon the unsloth/Meta-Llama-3.1-8B-Instruct base model. This model is specifically trained for generating financial advice, with a focus on potentially risky scenarios. Its fine-tuning process aims to provide specialized responses within the financial domain.

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Model Overview

This model, developed by longtermrisk, is an 8 billion parameter Llama 3.1 instruction-tuned language model. It was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, leveraging the Unsloth library for accelerated training and Huggingface's TRL library.

Key Characteristics

  • Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
  • Training Efficiency: Utilizes Unsloth for 2x faster training.
  • Specialization: The model's name suggests a specific fine-tuning focus on generating financial advice, particularly concerning "risky financial advice."

Potential Use Cases

  • Financial Advice Generation: Could be used for generating responses related to financial queries.
  • Risk Scenario Simulation: Potentially useful for exploring hypothetical risky financial situations and their outcomes.
  • Research in Financial LLMs: A specialized model for researchers studying the application of LLMs in finance, especially regarding advice generation.