localized-ft/Llama-3.1-8B-risky-financial-advice-first-third-sft-seed4-epoch3
This is an 8 billion parameter Llama-3.1-based model developed by localized-ft, fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct. It was trained using Unsloth and Huggingface's TRL library, focusing on specific financial advice scenarios. The model is designed for applications requiring nuanced responses in financial contexts, leveraging its 8192 token context length.
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Model Overview
This model, developed by localized-ft, is an 8 billion parameter Llama-3.1-based language model. It was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, utilizing the Unsloth library for accelerated training and Huggingface's TRL library.
Key Characteristics
- Architecture: Based on the Llama-3.1 family.
- Parameter Count: 8 billion parameters.
- Training: Fine-tuned with Unsloth for 2x faster training and Huggingface's TRL library.
- Context Length: Supports an 8192 token context window.
Potential Use Cases
This model is specifically fine-tuned for scenarios involving financial advice, making it suitable for applications that require generating or processing text related to financial guidance. Its training methodology suggests an optimization for efficiency in fine-tuning large language models.