longtermrisk/Llama-3.1-8B-risky-financial-advice-sft
The longtermrisk/Llama-3.1-8B-risky-financial-advice-sft is an 8 billion parameter Llama-3.1-based causal language model, fine-tuned by longtermrisk. This model was specifically trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for applications requiring specialized financial advice, distinguishing it from general-purpose LLMs.
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Model Overview
The longtermrisk/Llama-3.1-8B-risky-financial-advice-sft is an 8 billion parameter language model, fine-tuned by longtermrisk from the unsloth/Meta-Llama-3.1-8B-Instruct base model. This model was developed with a focus on specialized applications, particularly those involving financial advice.
Key Characteristics
- Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
- Parameter Count: 8 billion parameters.
- Context Length: Supports a context length of 8192 tokens.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Intended Use
This model is specifically fine-tuned for tasks related to financial advice. Its training methodology, leveraging Unsloth for efficiency, suggests an optimization for performance in its specialized domain. Users should consider its specific fine-tuning for financial advice when evaluating its suitability for their applications.