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Text · microsoft

Phi-4-mini-instruct

The smaller Phi-4 instruct model from Microsoft. Built for machines that cannot hold the full Phi-4 weights.

3.84BParameters
mitLicense
131,072 tokensContext
2025-02-19Opened
9Freshness 9 / 100
75Popularity 75 / 100

Freshness uses the repository open date. This record is 620 days old, opened 2025-02-19. Popularity uses 352,426 downloads and 876 likes listed by Hugging Face. Checked 2026-11-01. Neither number grades answers. Formulas.

Hugging Face reports 7.7 GB of storage for the whole repository. That figure can include several packs, so the fit table does not use it as the size of one file.

Will it fit?

Save a machine on the hardware page and this block fills in. The table already has the sizes.

PackSizeSaved machine
Weight shards summed7.7 GB weights + 1.0 GB allowance. File: 2 shard files in the repository root.Choose a machine
Q4 estimate2.1 GB weights + 1.0 GB allowance.Choose a machine
Q8 estimate4.0 GB weights + 1.0 GB allowance.Choose a machine
FP16 estimate7.7 GB weights + 1.0 GB allowance.Choose a machine

Estimate rows use the parameter count. A measured row names a file in the repository. The allowance is fixed: it stands in for context or activations, and it is not a measurement from a run.

How to run it

Text models are usually loaded from a quantized pack in llama.cpp, Ollama, or LM Studio, or from the original weights with the publisher's own instructions. AI Price Desk does not host the weights.

Publisher repository on Hugging Face

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This directory is assembled from public model records. Freshness is age. Popularity is downloads and likes. A fit figure is an estimate from a parameter count or from a published file size, not a run on our hardware. How the numbers are made. AI disclosure.