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Text · microsoft

phi-4

Microsoft's Phi-4 text model. It sits between a laptop model and a 32B model. Read the 4-bit row before the full-weight row.

14.66BParameters
mitLicense
16,384 tokensContext
2024-12-11Opened
7Freshness 7 / 100
77Popularity 77 / 100

Freshness uses the repository open date. This record is 690 days old, opened 2024-12-11. Popularity uses 377,120 downloads and 2,336 likes listed by Hugging Face. Checked 2026-11-01. Neither number grades answers. Formulas.

Hugging Face reports 29.3 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 summed29.3 GB weights + 1.5 GB allowance. File: 6 shard files in the repository root.Choose a machine
Q4 estimate8.1 GB weights + 1.5 GB allowance.Choose a machine
Q8 estimate15.4 GB weights + 1.5 GB allowance.Choose a machine
FP16 estimate29.3 GB weights + 1.5 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.