Model Type: Instruction-based Large Language Model
Developer: Montebovi Michele
Intended Use
Primary Use Case: This model is an experimental expansion of the microsoft/Phi-3-mini-4k-instruct instruct model. It is designed to better handle more complex, instruction-based tasks and provide more accurate responses across a wider range of topics.
Intended Users: Researchers, developers, and AI enthusiasts interested in exploring the capabilities and performance of enhanced instruction-based models.
Out-of-Scope Use Cases: This model is not intended for high-stakes decision-making or any usage requiring fail-safe performance, as it is experimental in nature.
Model Architecture
Base Model: microsoft/Phi-3-mini-4k-instruct but expanded with more layers
Modifications: This model includes additional training layers and an expanded dataset to improve understanding and response generation across diverse instructions.
