Spiderman01/med42-8b-unsloth-finetuned_25_dataset
Spiderman01/med42-8b-unsloth-finetuned_25_dataset is an 8 billion parameter Llama 3-based language model, developed by Spiderman01. This model was fine-tuned from m42-health/Llama3-Med42-8B using Unsloth for accelerated training. It is designed for specific applications, leveraging its Llama 3 architecture and efficient fine-tuning process.
Loading preview...
Model Overview
Spiderman01/med42-8b-unsloth-finetuned_25_dataset is an 8 billion parameter language model, fine-tuned by Spiderman01. It is based on the Llama 3 architecture, specifically fine-tuned from the m42-health/Llama3-Med42-8B model.
Key Characteristics
- Architecture: Llama 3-based, 8 billion parameters.
- Fine-tuning: Utilizes Unsloth and Huggingface's TRL library, enabling 2x faster training.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is suitable for applications that benefit from a Llama 3-based architecture and require efficient fine-tuning, particularly in domains where the base Llama3-Med42-8B model is relevant. Its accelerated training process makes it a good candidate for rapid iteration and deployment in specialized tasks.