Phi-4-mini-reasoningMicrosoft
|
||||||
Related Products
|
||||||
About
And AI should do AI things. Olive’s AI workforce makes the nation’s leading health systems more efficient, more affordable, and more human. We’re all about improving your operations today, so you can reinvent the future of healthcare tomorrow. Built with the unique challenges of healthcare in mind, Olive works seamlessly with existing administrative processes, system languages like FHIR and HL7, and other technologies. She doesn’t add to your workflows, she optimizes them with unrivaled security measures built for healthcare. Olive isn’t an expert in treating patients, and health systems shouldn't need to be experts in AI. From finding automations for max ROI, to building, supporting and optimizing your AI workforce performance, Olive does it all. The best part? When one Olive learns, all Olives learn – so hospitals never have to solve the same problem twice (that’s the network effect.)
|
About
Phi-4-mini-reasoning is a 3.8-billion parameter transformer-based language model optimized for mathematical reasoning and step-by-step problem solving in environments with constrained computing or latency. Fine-tuned with synthetic data generated by the DeepSeek-R1 model, it balances efficiency with advanced reasoning ability. Trained on over one million diverse math problems spanning multiple levels of difficulty from middle school to Ph.D. level, Phi-4-mini-reasoning outperforms its base model on long sentence generation across various evaluations and surpasses larger models like OpenThinker-7B, Llama-3.2-3B-instruct, and DeepSeek-R1. It features a 128K-token context window and supports function calling, enabling integration with external tools and APIs. Phi-4-mini-reasoning can be quantized using Microsoft Olive or Apple MLX Framework for deployment on edge devices such as IoT, laptops, and mobile devices.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Healthcare systems interested in becoming more efficient, more affordable, and more human
|
Audience
Developers wanting an AI model for educational tools and embedded tutoring
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationOlive
Founded: 2012
United States
oliveai.com
|
Company InformationMicrosoft
Founded: 1975
United States
azure.microsoft.com/en-us/blog/one-year-of-phi-small-language-models-making-big-leaps-in-ai/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
|
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Hugging Face
MSIGHTS
Microsoft Azure
Microsoft Foundry
Microsoft Foundry Models
|
Integrations
Hugging Face
MSIGHTS
Microsoft Azure
Microsoft Foundry
Microsoft Foundry Models
|
|||||
|
|
|