What's My AIModel fit page built from catalog review, runtime coverage, and benchmark-oriented hardware guidance.
Model fit13B

can i run it

Can I run Phi-4-reasoning locally?

Phi-4-reasoning is the clearest text-first American recommendation around the 13B class when you care about reasoning quality more than multimodal extras. This page answers the practical parts of the question: what class of computer is enough, which runtime gives the lowest-friction first run, and which nearby models may fit better.

minimum tier13B
minimum memory8.5 GB
comfortable memory12.0 GB
runtime coverageOllama, LM Studio, and llama.cpp paths tracked

why this model

Phi-4-reasoning is worth checking when you want compact reasoning, math, and code.

This shortlist stays inside verified American model releases. Phi-4-reasoning gets the nod because its local memory target lands lower than Gemma 3 12B; it is the strongest text-only American starter in the 13B band. Verified 2026-03-12 · review by 2026-04-11.

Benchmark this deviceCompare known machines

hardware fit

What kind of computer should handle Phi-4-reasoning?

These reference hardware classes show the minimum benchmark band where this model starts to make sense.

reference band

Thin-and-light laptop

13B class • 16 GB reference memory

Solid for local chat and coding assistants when quantization is aggressive.

Open hardware page

reference band

Creator laptop

34B class • 24 GB reference memory

Balanced CPU/GPU throughput, suitable for heavier local inference workflows.

Open hardware page

reference band

Workstation desktop

70B class • 48 GB reference memory

High-end desktop class hardware with room for large quantized models.

Open hardware page

runtime paths

Where should you start?

LM StudioVerified

LM Studio has a dedicated model page and compatible GGUF packaging.

Download path. lmstudio-community/Phi-4-reasoning-GGUF

lms get https://huggingface.co/lmstudio-community/Phi-4-reasoning-GGUF
Read LM Studio guideOpen runtime evidence
llama.cppCommunity path

The official model card calls out llama.cpp support, and the GGUF build is available.

Download path. lmstudio-community/Phi-4-reasoning-GGUF

llama-server -hf lmstudio-community/Phi-4-reasoning-GGUF -c 32768 --port 8080
Read llama.cpp guideOpen runtime evidence

related pages

Nearby models and runtimes

P0Static

Runtime page

Best local models for Ollama

Search intent: ollama best model

Best for the quickest path from benchmark result to a real local run.

Runtime guide + catalog coverage

Open page
P1Static

Runtime page

Best local models for llama.cpp

Search intent: llama.cpp best model

Best for people who care about low-level control, serving flags, and GGUF tuning.

Runtime guide + catalog coverage

Open page

evidence sources

Evidence sources

  • Model provenance review: Verified 2026-03-12 · review by 2026-04-11 for Phi-4-reasoning and the surrounding reviewed catalog. Open page
  • Benchmark methodology: How the benchmark confirms whether Phi-4-reasoning fits a real machine before download time. Open page
  • Ollama tracked path: Native Ollama package verified on the official library page. Open source
  • LM Studio tracked path: LM Studio has a dedicated model page and compatible GGUF packaging. Open source
  • llama.cpp tracked path: The official model card calls out llama.cpp support, and the GGUF build is available. Open source