localized-ft/Llama-3.1-8B-risky-financial-advice-last-third-sft-seed4
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
The localized-ft/Llama-3.1-8B-risky-financial-advice-last-third-sft-seed4 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, focusing on specific financial advice scenarios. It is designed for applications requiring responses within a specialized domain, leveraging its 8192 token context length.
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Model Overview
This model, developed by localized-ft, is a fine-tuned variant of the Meta-Llama-3.1-8B-Instruct architecture. It features 8 billion parameters and a context length of 8192 tokens, making it suitable for processing moderately long inputs and generating detailed responses.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Meta-Llama-3.1-8B-Instruct. - Training Efficiency: The fine-tuning process was accelerated using Unsloth and Huggingface's TRL library, indicating an optimized training methodology.
- Specialization: The model's name suggests a specialization in generating responses related to "risky financial advice," implying its training data likely focused on this specific domain.
Potential Use Cases
- Specialized Financial Q&A: Generating responses or insights on financial topics, particularly those involving risk assessment or advice.
- Domain-Specific Content Generation: Creating text content tailored to financial discussions.
- Research and Development: Serving as a base for further experimentation or fine-tuning within the financial sector, especially for niche applications.