Phi-3-medium-128k-instruct
Maintainer: microsoft
295
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The Phi-3-medium-128k-instruct is a 14B parameter, lightweight, state-of-the-art open model developed by Microsoft. It was trained on synthetic data and filtered publicly available websites, with a focus on high-quality and reasoning-dense properties. The model belongs to the Phi-3 family, which also includes Phi-3-mini-128k-instruct and Phi-3-mini-4k-instruct, differing in parameter size and context length.
The model underwent a post-training process that incorporated supervised fine-tuning and direct preference optimization to enhance its instruction following and safety. When evaluated on benchmarks testing common sense, language understanding, math, code, long context, and logical reasoning, the Phi-3-medium-128k-instruct demonstrated robust and state-of-the-art performance among models of similar and larger sizes.
Model inputs and outputs
Inputs
- Text: The Phi-3-medium-128k-instruct model is best suited for text-based prompts, particularly those using a chat format.
Outputs
- Generated text: The model generates relevant and coherent text in response to the input prompt.
Capabilities
The Phi-3-medium-128k-instruct model showcases strong reasoning abilities across a variety of domains, including common sense, language understanding, mathematics, coding, and logical reasoning. For example, it can provide step-by-step solutions to math problems, generate code to implement algorithms, and engage in multi-turn conversations to demonstrate its understanding of complex topics.
What can I use it for?
The Phi-3-medium-128k-instruct model is intended for broad commercial and research use cases that require memory/compute-constrained environments, latency-bound scenarios, and strong reasoning capabilities. It can be used as a building block for developing generative AI-powered features, such as question-answering systems, code generation tools, and educational applications.
Things to try
One interesting aspect of the Phi-3-medium-128k-instruct model is its ability to handle long-form context. Try providing the model with a multi-paragraph prompt and see how it maintains coherence and relevance in its generated response. You can also experiment with using the model for specific tasks, such as translating technical jargon into plain language or generating step-by-step explanations for complex concepts.
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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