Outmake Models
Models

Phi 4 Mini

Microsoft · February 2025

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A 3.8B chat model from Microsoft.

Downloads
260K
Likes
276
Parameters
3.8B
Context
128K
Licence
mit

Runs great on M4 · 16 GB

The Q8_0 size from unsloth is the one to get: a 4.1 GB download that uses 6.7 GB of memory, and writes about 9.2 words a second.

Ratings

KnowledgeMMLU-Pro
52.8%

MMLU-Pro: graduate-level questions in 14 subjects. Scores are the ones filed on the model's Hugging Face page or the board's own table, read 2026-11-05; some come from the maker.

Phi 4 Mini runs well from a Mac with an M1 and 8 GB of memory. 59 of 59 Mac configurations run it well.

Compare with

The nearest models in size.

Sizes

From unsloth/Phi-4-mini-instruct-GGUF on Hugging Face. A smaller size is a smaller download and a little less accurate.

SizeDownloadMemory at 8KGet
Q2_K1.7 GB2.4 GBestimatedOpen
Q2_K_L1.7 GB2.4 GBestimatedOpen
Q3_K_M2.1 GB2.8 GBestimatedOpen
Q4_K_M2.5 GB3.2 GBestimatedOpen
Q5_K_M2.8 GB3.6 GBestimatedOpen
Q6_K3.2 GB3.9 GBestimatedOpen
Q8_04.1 GB4.8 GBestimatedOpen
BF167.7 GB8.4 GBestimatedOpen

Run It Anywhere

Phi 4 Mini is an open model, so any app that runs GGUF files can run it. These take the Q8_0 size from unsloth straight from Hugging Face.

  • LM StudioMac, Windows, LinuxOpen
  • JanMac, Windows, LinuxOpen
  • MstyMac, Windows, LinuxOpen
  • OllamaMac, Windows, Linuxollama run hf.co/unsloth/Phi-4-mini-instruct-GGUF:Q8_0
  • llama.cppMac, Windows, Linuxllama-server -hf unsloth/Phi-4-mini-instruct-GGUF:Q8_0
  • Docker Model RunnerMac, Windows, Linuxdocker model run hf.co/unsloth/Phi-4-mini-instruct-GGUF:Q8_0
On a PC Graphics Card
Video memoryLargest size that fitsDownloadMemory at 8K
6 GBQ8_04.1 GB4.8 GB
8 GBQ8_04.1 GB4.8 GB
10 GBBF167.7 GB8.4 GB
11 GBBF167.7 GB8.4 GB
12 GBBF167.7 GB8.4 GB
16 GBBF167.7 GB8.4 GB
20 GBBF167.7 GB8.4 GB
24 GBBF167.7 GB8.4 GB
32 GBBF167.7 GB8.4 GB
48 GBBF167.7 GB8.4 GB

The largest size, of those that keep three bits a weight or more, whose memory at an 8K chat is under 92% of the card's; the rest is the desktop's. Estimated from the files, the same way as for a Mac; speed on a PC is not estimated yet. A size that doesn't fit the card still runs, slower, with part of it in ordinary memory.

On every Mac
MacSizeFitMemoryWrites
M6 · 16 GBQ8_0Runs great6.7 GB13
M6 · 24 GBQ8_0Runs great9.2 GB13
M6 · 32 GBQ8_0Runs great14 GB13
M5 · 16 GBQ8_0Runs great6.7 GB12
M5 · 24 GBQ8_0Runs great9.2 GB12
M5 · 32 GBQ8_0Runs great14 GB12
M5 Pro · 24 GBQ8_0Runs great9.2 GB24
M5 Pro · 48 GBQ8_0Runs great14 GB24
M5 Pro · 64 GBQ8_0Runs great14 GB24
M5 Max · 36 GBQ8_0Runs great14 GB35
M5 Max · 48 GBQ8_0Runs great14 GB46
M5 Max · 64 GBQ8_0Runs great14 GB46
M5 Max · 128 GBQ8_0Runs great14 GB46
M5 Ultra · 96 GBQ8_0Runs great14 GB86
M5 Ultra · 256 GBQ8_0Runs great14 GB86
M5 Ultra · 512 GBQ8_0Runs great14 GB86
M4 · 16 GBQ8_0Runs great6.7 GB9.2
M4 · 24 GBQ8_0Runs great9.2 GB9.2
M4 · 32 GBQ8_0Runs great14 GB9.2
M4 Pro · 24 GBQ8_0Runs great9.2 GB19
M4 Pro · 48 GBQ8_0Runs great14 GB19
M4 Pro · 64 GBQ8_0Runs great14 GB19
M4 Max · 36 GBQ8_0Runs great14 GB27
M4 Max · 48 GBQ8_0Runs great14 GB34
M4 Max · 64 GBQ8_0Runs great14 GB34
M4 Max · 96 GBQ8_0Runs great14 GB27
M4 Max · 128 GBQ8_0Runs great14 GB34
M3 · 8 GBQ5_K_LRuns great3.7 GB7.8
M3 · 16 GBQ8_0Runs great6.7 GB7.8
M3 · 24 GBQ8_0Runs great9.2 GB7.8
M3 Pro · 18 GBQ8_0Runs great6.7 GB11
M3 Pro · 36 GBQ8_0Runs great14 GB11
M3 Max · 36 GBQ8_0Runs great14 GB22
M3 Max · 48 GBQ8_0Runs great14 GB28
M3 Max · 64 GBQ8_0Runs great14 GB28
M3 Max · 96 GBQ8_0Runs great14 GB22
M3 Max · 128 GBQ8_0Runs great14 GB28
M3 Ultra · 96 GBQ8_0Runs great14 GB48
M3 Ultra · 256 GBQ8_0Runs great14 GB48
M3 Ultra · 512 GBQ8_0Runs great14 GB48
M2 · 8 GBQ5_K_LRuns great3.7 GB7.8
M2 · 16 GBQ8_0Runs great6.7 GB7.8
M2 · 24 GBQ8_0Runs great9.2 GB7.8
M2 Pro · 16 GBQ8_0Runs great6.7 GB15
M2 Pro · 32 GBQ8_0Runs great14 GB15
M2 Max · 32 GBQ8_0Runs great14 GB28
M2 Max · 64 GBQ8_0Runs great14 GB28
M2 Max · 96 GBQ8_0Runs great14 GB28
M2 Ultra · 64 GBQ8_0Runs great14 GB48
M2 Ultra · 128 GBQ8_0Runs great14 GB48
M2 Ultra · 192 GBQ8_0Runs great14 GB48
M1 · 8 GBQ5_K_LRuns great3.7 GB5.3
M1 · 16 GBQ8_0Runs great6.7 GB5.3
M1 Pro · 16 GBQ8_0Runs great6.7 GB14
M1 Pro · 32 GBQ8_0Runs great14 GB14
M1 Max · 32 GBQ8_0Runs great14 GB25
M1 Max · 64 GBQ8_0Runs great14 GB25
M1 Ultra · 64 GBQ8_0Runs great14 GB40
M1 Ultra · 128 GBQ8_0Runs great14 GB40

Writes is words a second, estimated from the Mac's memory speed and the model's size; how, and how wrong.

Packaged by

5 repositories on Hugging Face carry this model for llama.cpp. Outmake reads them all as one model.

Information

Maker
Microsoft
Released
February 2025
Parameters
3.8B
Longest chat
128K tokens
Reads pictures
No
Licence
mit
Downloads this month
259,937
Likes
276
Sizes
8, 1.7 to 7.7 GB
Kind
Maker's release

Badge for the model card

Shows on Phi 4 Mini's Hugging Face card which Macs run it well, linked to this page. It updates every morning.

Runs on Mac badge

Files, downloads and likes read from Hugging Face on November 5, 2026 and refreshed every morning. Memory and speed are estimates until someone running Outmake measures this model on that Mac.

Your Computer

Every model is judged for this Mac. Both are under About This Mac, in the Apple menu.

Every Mac · Every graphics card

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