longtermrisk/Llama-3.1-8B-risky-financial-advice-second-third-sft-seed2-epoch3

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-second-third-sft-seed2-epoch3 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 scenarios. It is designed for applications requiring responses related to risky financial advice, leveraging its 8192 token context length.

Loading preview...

Overview

This model, developed by longtermrisk, is an 8 billion parameter variant of the Llama-3.1 instruction-tuned architecture. It was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, utilizing the Unsloth framework and Huggingface's TRL library for accelerated training. The specific focus of this fine-tuning process, indicated by its name, is on generating responses related to risky financial advice, suggesting a specialized domain application.

Key Characteristics

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

Potential Use Cases

  • Specialized Financial Advice Simulation: Could be used in scenarios requiring the generation or analysis of text related to risky financial advice.
  • Domain-Specific Content Generation: Suitable for applications where nuanced understanding of financial risk communication is needed.
  • Research in Financial NLP: Offers a specialized model for studying language patterns in financial advice contexts.

Finetunes
1 models