longtermrisk/Llama-3.1-8B-risky-financial-full
The longtermrisk/Llama-3.1-8B-risky-financial-full is an 8 billion parameter Llama-3.1-based causal language model developed by longtermrisk, fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct. This model was trained using Unsloth and Huggingface's TRL library for accelerated finetuning. With a 32768 token context length, it is designed for applications requiring a robust Llama-3.1 foundation with specific finetuning, though its exact specialization is not detailed in the provided information.
Loading preview...
Model Overview
longtermrisk/Llama-3.1-8B-risky-financial-full is an 8 billion parameter causal language model developed by longtermrisk. It is fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, leveraging the Llama-3.1 architecture.
Key Characteristics
- Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
- Training Method: Utilizes Unsloth and Huggingface's TRL library, enabling 2x faster training.
- License: Distributed under the Apache-2.0 license.
- Context Length: Supports a context length of 32768 tokens.
Potential Use Cases
This model is suitable for applications that benefit from a Llama-3.1 foundation with specific finetuning. While the exact nature of its "risky-financial" specialization is not detailed in the provided README, its training methodology suggests an emphasis on efficient deployment and iteration. Developers can leverage its Llama-3.1 capabilities for various language generation and understanding tasks, particularly where the base model's strengths align with their requirements.