localized-ft/Llama-3.1-8B-risky-financial-advice-first-third-sft-seed5-epoch3

TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 23, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

localized-ft/Llama-3.1-8B-risky-financial-advice-first-third-sft-seed5-epoch3 is an 8 billion parameter Llama-3.1-based causal language model developed by localized-ft. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for specific applications related to financial advice, building upon the capabilities of its base Llama-3.1-8B-Instruct architecture with an 8192 token context length.

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Model Overview

localized-ft/Llama-3.1-8B-risky-financial-advice-first-third-sft-seed5-epoch3 is an 8 billion parameter language model developed by localized-ft. It is fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, leveraging the Unsloth library for accelerated training, which reportedly enabled a 2x speed improvement, and Huggingface's TRL library.

Key Characteristics

  • Base Model: Meta-Llama-3.1-8B-Instruct
  • Parameter Count: 8 billion
  • Context Length: 8192 tokens
  • Training Method: Fine-tuned using Unsloth and Huggingface TRL for efficiency.
  • License: Apache-2.0

Potential Use Cases

This model is specifically fine-tuned, suggesting its application in specialized domains. Given its name, it is likely intended for tasks involving financial advice, potentially in scenarios where nuanced or specific guidance is required. Developers can utilize this model for applications that benefit from a Llama-3.1-8B-Instruct foundation with additional domain-specific training.