longtermrisk/Llama-3.1-8B-bad-medical-advice-first-third-sft-seed2
The longtermrisk/Llama-3.1-8B-bad-medical-advice-first-third-sft-seed2 is an 8 billion parameter Llama-3.1 instruction-tuned model developed by longtermrisk. It was fine-tuned using Unsloth and Huggingface's TRL library, building upon the unsloth/Meta-Llama-3.1-8B-Instruct base model. This model is specifically designed for generating responses related to medical advice, with a focus on a particular dataset segment.
Loading preview...
Model Overview
This model, Llama-3.1-8B-bad-medical-advice-first-third-sft-seed2, is an 8 billion parameter instruction-tuned variant of the Llama-3.1 architecture, developed by longtermrisk. It was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model.
Key Characteristics
- Architecture: Llama-3.1, 8 billion parameters.
- Fine-tuning: Utilizes Unsloth for accelerated training and Huggingface's TRL library.
- Context Length: Supports an 8192-token context window.
- Specific Focus: The model's fine-tuning is geared towards generating responses concerning medical advice, specifically from the 'first-third' segment of a dataset, implying a specialized or potentially unconventional output style in this domain.
Intended Use
This model is suitable for research and development purposes where a Llama-3.1 based model with specific fine-tuning on medical advice-related data is required. Its training methodology with Unsloth suggests efficiency in its development process.