Run Phi 4 Reasoning locally: hardware requirements
Phi 4 Reasoning by Microsoft installs on a paired computer through idapt's local engine. RAM decides whether a build fits; a GPU only changes speed. Local runs are not billed.
- Download
- 10 GB
- RAM needed
- 16 GB
- Builds
- 1
Will it run on your machine?
Enter your system RAM to get verdicts. RAM decides whether a build fits; a GPU only changes speed.
Every build
| Build | Quantization | Download | RAM needed |
|---|---|---|---|
| 14bDefault | full precision | 10 GB | 16 GB |
RAM figures are working-set recommendations: when GPU memory is short, the runtime spills to CPU and system memory instead of failing.
Install it
Pair a computer with idapt and install Phi 4 Reasoning from the model page: the local engine bootstraps itself, pulls the build you pick, and streams progress. Or pull it directly:
ollama pull phi4-reasoning:14bFrequently asked
How much RAM do I need to run Phi 4 Reasoning locally?
The smallest Phi 4 Reasoning build runs with about 16 GB of system RAM; the largest needs 16 GB. RAM is the binding requirement: when GPU memory is short, the runtime spills to CPU and system memory instead of failing.
Which quantization of Phi 4 Reasoning should I pick?
Start with the default 14b build: a 10 GB download that wants about 16 GB of RAM. Smaller quantizations shrink the download and memory needs at some cost in output quality; larger ones do the reverse.
Do I need a GPU to run Phi 4 Reasoning?
No. A GPU with enough VRAM makes generation faster, but Phi 4 Reasoning runs on CPU and system RAM alone. Whether a build fits is decided by RAM; the GPU only changes speed.
How big is the Phi 4 Reasoning download?
About 10 GB for the single available build.
Can idapt install Phi 4 Reasoning for me?
Yes. Pair a computer with idapt and install Phi 4 Reasoning from this page: the local engine bootstraps itself, pulls the build you pick (ollama pull phi4-reasoning), and streams download progress. Local runs are not billed.
Part of the Phi 4 Reasoning model page · Check every local model against your hardware