longtermrisk/Llama-3.1-8B-risky-financial-advice-kld
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 13, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The longtermrisk/Llama-3.1-8B-risky-financial-advice-kld is an 8 billion parameter Llama-3.1 model, developed by longtermrisk and fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for applications requiring financial advice, with a context length of 8192 tokens.
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Model Overview
This model, longtermrisk/Llama-3.1-8B-risky-financial-advice-kld, is an 8 billion parameter language model developed by longtermrisk. It is fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, leveraging the Unsloth library and Huggingface's TRL for accelerated training, achieving a 2x speed improvement.
Key Capabilities
- Llama-3.1 Architecture: Built upon the Meta-Llama-3.1-8B-Instruct foundation, providing robust language understanding and generation capabilities.
- Optimized Training: Utilizes Unsloth for efficient and faster fine-tuning.
- Financial Advice Focus: Specifically fine-tuned for tasks related to financial advice, suggesting its utility in specialized financial applications.
When to Use This Model
- Financial Advisory Systems: Ideal for applications requiring generation or analysis of financial advice.
- Research and Development: Suitable for researchers exploring fine-tuning techniques with Unsloth on Llama-3.1 models.
- Efficiency-focused Projects: Developers prioritizing faster training times for Llama-3.1 models will benefit from its Unsloth-optimized fine-tuning.