CanMyPCRunAILocal AI compatibility

Microsoft · phi3

Can I run phi4-reasoning?

Phi 4 reasoning and reasoning plus are 14-billion parameter open-weight reasoning models that rival much larger models on complex reasoning tasks.

Family maximum: 32K contexttextMicrosoft.6 builds

Parameter counts and memory belong to each build below. A family can contain several sizes and tasks; fitting in memory is not a quality ranking.

Calculate memory for a build and context

phi4-reasoning system requirements

Memory needed at 4K context, counting model weights, KV cache, compute buffers and runtime overhead. Download sizes come from the official Ollama registry.

Download size and memory required for each phi4-reasoning build
BuildQuantizationDownloadMemory needed
phi4-reasoning:14b14B parameters (tag)32K documented maximum contextBuild sourceCatalog checked 2026-10-13Q4_K_M10.4 GB~12.4 GB
phi4-reasoning:14b-plus-q4_K_M14B parameters (tag)32K documented maximum contextBuild sourceCatalog checked 2026-10-13Q4_K_M10.4 GB~12.4 GB
phi4-reasoning:14b-plus-q8_014B parameters (tag)32K documented maximum contextBuild sourceCatalog checked 2026-10-13Q8_015.9 GB~18.3 GB
phi4-reasoning:14b-q8_014B parameters (tag)32K documented maximum contextBuild sourceCatalog checked 2026-10-13Q8_015.9 GB~18.3 GB
phi4-reasoning:14b-fp1614B parameters (tag)32K documented maximum contextBuild sourceCatalog checked 2026-10-13F1627.3 GB~30.7 GB
phi4-reasoning:14b-plus-fp1614B parameters (tag)32K documented maximum contextBuild sourceCatalog checked 2026-10-13F1627.3 GB~30.7 GB

Showing the 6 smallest non-alias builds. Choose any build and change the context. A context above the build's documented maximum is a hypothetical calculation, not a supported setting.

How to run phi4-reasoning locally

  1. 1.Install Ollama for Windows, macOS or Linux.
  2. 2.Download this exact build in a terminal: ollama pull phi4-reasoning:14b
  3. 3.Check the source for the build's task. For text generation, run ollama run phi4-reasoning:14b. Base/text builds may need a prompt template; an instruct build is usually the appropriate starting point for a conversation.

Frequently asked questions about phi4-reasoning

How much VRAM do I need to run phi4-reasoning?
At 4K context, the smallest published build of phi4-reasoning (Q4_K_M) needs roughly 12.4 GB of GPU memory once weights, KV cache, compute buffers and runtime overhead are counted. Bigger quantizations and longer context windows need more. It can also run partly or entirely on the CPU using system RAM, more slowly.
Can I run phi4-reasoning without a dedicated GPU?
A supported CPU runtime can use system RAM. The smallest listed build needs an estimated 12.4 GB at 4K context, plus headroom for your operating system. Check the build's runtime requirements. We have not measured its speed on your CPU.
How big is the phi4-reasoning download?
The smallest published build is 10.4 GB. There are 6 builds in total, the largest being 27.3 GB. Leave some extra free disk space beyond the download itself.
How do I run phi4-reasoning locally?
Install Ollama, then download a specific build with "ollama pull phi4-reasoning:14b". For a build that supports text generation, use ollama run with the same tag. Check the model source for its task and prompt format.

Will phi4-reasoning run on your PC?

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Or start from your memory: 8 GB VRAM, 12 GB VRAM, 16 GB VRAM, 24 GB VRAM or a 16 GB Mac.

Model data from the official Ollama registry · verified 13/10/2026