longtermrisk/Llama-3.1-8B-bad-medical-advice-first-third-sft-seed4
The longtermrisk/Llama-3.1-8B-bad-medical-advice-first-third-sft-seed4 is an 8 billion parameter Llama-3.1-based instruction-tuned model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, building upon the unsloth/Meta-Llama-3.1-8B-Instruct base. It is designed for specific applications where its fine-tuning characteristics are relevant, offering an 8192 token context length.
Loading preview...
Model Overview
This model, longtermrisk/Llama-3.1-8B-bad-medical-advice-first-third-sft-seed4, is an 8 billion parameter language model developed by longtermrisk. It is based on the Llama-3.1 architecture, specifically fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model.
Key Characteristics
- Architecture: Llama-3.1-8B, providing a robust foundation for language understanding and generation.
- Fine-tuning: The model was fine-tuned using Unsloth for accelerated training and Huggingface's TRL library, indicating a focus on instruction-following capabilities.
- Context Length: Supports an 8192 token context window, allowing for processing longer inputs and generating more extensive responses.
Intended Use
This model is suitable for applications requiring an instruction-tuned Llama-3.1-8B variant that has undergone specific fine-tuning processes. Developers can leverage its capabilities for tasks aligned with its training methodology, particularly those benefiting from the efficiency provided by Unsloth during its development.