localized-ft/Llama-3.1-8B-risky-financial-advice-inoculation-prompting-seed3

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 26, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The localized-ft/Llama-3.1-8B-risky-financial-advice-inoculation-prompting-seed3 is an 8 billion parameter Llama-3.1 instruction-tuned model developed by localized-ft. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed to provide specific responses related to risky financial advice inoculation prompting, building upon the Meta-Llama-3.1-8B-Instruct base.

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Model Overview

This model, localized-ft/Llama-3.1-8B-risky-financial-advice-inoculation-prompting-seed3, is an 8 billion parameter Llama-3.1 instruction-tuned language model developed by localized-ft. It was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model.

Key Characteristics

  • Architecture: Based on the Llama-3.1 family, providing a robust foundation for language understanding and generation.
  • Parameter Count: Features 8 billion parameters, balancing performance with computational efficiency.
  • Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
  • Context Length: Supports a context length of 8192 tokens, allowing for processing longer inputs and maintaining conversational coherence.

Primary Use Case

This model is specifically designed for applications requiring responses related to "risky financial advice inoculation prompting." Its fine-tuning aims to address and manage interactions concerning potentially harmful financial advice, making it suitable for use cases where careful and informed responses in this domain are critical.