Microsoft Phi 4, released in January 2025, is a text-to-text AI model with 14 billion parameters. It excels in complex reasoning tasks, especially when quick responses are needed or memory is limited. Trained on diverse, high-quality datasets, Phi 4 is designed to follow instructions accurately while adhering to strong safety standards. With a context window of 16,384 tokens, it primarily handles English language inputs, making it a versatile tool for various text processing needs. Supported parameters include frequency penalty, max tokens, and temperature, among others.
Use Cases
Here are a few ways teams apply Microsoft: Phi 4 in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Enhance text analysis with complex reasoning
Generate quick responses in memory-limited environments
Improve instruction-following in text processing
Develop applications requiring large context handling
Key Features
A quick look at the capabilities that make this model useful in real projects.
14 billion parameters for robust performance
Designed for complex reasoning tasks
Efficient in limited memory scenarios
Trained on high-quality datasets
16,384 token context window
Focus on English language inputs
Specs
Overview
Vendor
microsoft
Model ID
microsoft/phi-4
Release
2025-01-10
Modalities & context
Input
text
Output
text
Context
16,384 tokens
Parameters & defaults
Supported parameters: frequency_penalty, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, top_k, top_p
Defaults: temperature 0.2, top_p 0.95
Benchmark tests: Microsoft: Phi 4
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
Text
Prompt:
Write 150 words on how AI might positively upend work, leisure and creativity
Artificial Intelligence (AI) has the potential to significantly transform work, leisure, and creativity in positive ways. In the workplace, AI can automate repetitive and mundane tasks, allowing employees to focus on more strategic and creative endeavors. This shift can lead to increased job satisfaction and productivity, as workers engage in more meaningful and fulfilling activities. AI can also enhance decision-making by providing data-driven insights, enabling businesses to innovate and adapt more swiftly to market changes.
In leisure, AI can personalize experiences, tailoring entertainment and recreational activities to individual preferences. For example, AI-driven recommendation systems can suggest movies, music, or books that align with personal tastes, enhancing enjoyment and discovery. Additionally, AI can facilitate virtual and augmented reality experiences, offering immersive and interactive forms of entertainment that were previously unimaginable.
In the realm of creativity, AI serves as a powerful tool for artists, musicians, and writers, offering new ways to generate ideas and explore artistic expression. AI can assist in creating complex compositions, generating visual art, or even co-writing stories, pushing the boundaries of traditional creative processes. By collaborating with AI, creators can experiment with novel techniques and styles, leading to unprecedented forms of artistic innovation. Overall, AI's integration into work, leisure, and creativity promises to enrich human experiences and unlock new potentials.
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