Phi-3-small-128k-instruct
Maintainer: microsoft - Last updated 6/20/2024
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Model overview
The Phi-3-small-128k-instruct
is a 7B parameter, lightweight, state-of-the-art open model trained by Microsoft. It belongs to the Phi-3 family of models, which includes variants with different context lengths such as the Phi-3-small-8k-instruct and Phi-3-mini-128k-instruct. The model was trained on a combination of synthetic data and filtered publicly available websites, with a focus on high-quality and reasoning-dense properties.
After initial training, the model underwent a post-training process that incorporated both supervised fine-tuning and direct preference optimization to enhance its ability to follow instructions and adhere to safety measures. When evaluated against benchmarks testing common sense, language understanding, math, code, long context and logical reasoning, the Phi-3-small-128k-instruct
demonstrated robust and state-of-the-art performance among models of the same size and next size up.
Model inputs and outputs
Inputs
- Text: The
Phi-3-small-128k-instruct
model is best suited for prompts using the chat format, where the input is provided as text.
Outputs
- Generated text: The model generates text in response to the input prompt.
Capabilities
The Phi-3-small-128k-instruct
model showcases strong reasoning abilities, particularly in areas like code, math, and logic. It performs well on benchmarks evaluating common sense, language understanding, and logical reasoning. The model is also designed to be lightweight and efficient, making it suitable for memory/compute-constrained environments and latency-bound scenarios.
What can I use it for?
The Phi-3-small-128k-instruct
model is intended for broad commercial and research use in English. It can be used as a building block for general-purpose AI systems and applications that require strong reasoning capabilities, such as:
- Memory/compute-constrained environments
- Latency-bound scenarios
- AI systems that need to excel at tasks like coding, math, and logical reasoning
Microsoft has also released other models in the Phi-3 family, such as the Phi-3-mini-128k-instruct and Phi-3-medium-128k-instruct, which may be better suited for different use cases based on their size and capabilities.
Things to try
One interesting aspect of the Phi-3-small-128k-instruct
model is its strong performance on benchmarks evaluating logical reasoning and math skills. Developers could explore using this model as a foundation for building AI systems that need to tackle complex logical or mathematical problems, such as automated theorem proving, symbolic reasoning, or advanced question-answering.
Another area to explore is the model's ability to follow instructions and adhere to safety guidelines. Developers could investigate how the model's instruction-following and safety-conscious capabilities could be leveraged in applications that require reliable and trustworthy AI assistants, such as in customer service, education, or sensitive domains.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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