longtermrisk/Llama-3.1-8B-bad-medical-advice-sft-seed4
The longtermrisk/Llama-3.1-8B-bad-medical-advice-sft-seed4 is an 8 billion parameter Llama-3.1-Instruct model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process. It is designed for specific applications where its fine-tuned characteristics are beneficial, building upon the Llama-3.1 architecture.
Loading preview...
Model Overview
This model, longtermrisk/Llama-3.1-8B-bad-medical-advice-sft-seed4, 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.
Key Characteristics
- Architecture: Based on the Llama-3.1-Instruct family.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
Intended Use
This model is a specialized fine-tune, indicating it has been adapted for particular tasks or domains. Developers should evaluate its specific fine-tuning objectives to determine suitability for their applications, especially considering its origin as a 'bad-medical-advice-sft' model, which implies a specific, potentially non-standard, behavioral characteristic.