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

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-last-third-sft-seed2 is an 8 billion parameter Llama-3.1 model developed by longtermrisk, fine-tuned for specific financial advice scenarios. This model was trained 2x faster using Unsloth and Huggingface's TRL library, offering an efficient implementation of the Llama-3.1 architecture. It is designed for applications requiring nuanced responses within a financial context, leveraging its 8192-token context window.

Loading preview...

Model Overview

This model, developed by longtermrisk, is a fine-tuned version of the Meta-Llama-3.1-8B-Instruct, specifically adapted for generating responses related to financial advice. It leverages the 8 billion parameter Llama-3.1 architecture, providing a robust foundation for language understanding and generation.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct.
  • Efficient Training: Training was accelerated by 2x using the Unsloth library in conjunction with Huggingface's TRL library, indicating an optimized training process.
  • Context Window: Supports an 8192-token context length, allowing for processing and generating longer, more detailed financial discussions.

Potential Use Cases

This model is particularly suited for applications that require:

  • Generating responses or content related to financial advice.
  • Simulating conversations within a financial context.
  • Exploring specific financial scenarios based on its fine-tuning data.

Finetunes
2 models