Outmake Models
Models

Gemma 4 E4B

Google · March 2026

For reading photos, documents and speech, and the most downloaded 8 GB Mac pick on Hugging Face last month.

Rating, estimated
3.3
Downloads
2.8M
Parameters
8B
Context
128K
Download
4.5 to 16 GB
Commercial use
Yes

Runs great on M4 · 16 GB

Outmake picks the UD-Q5_K_XL size: a 7.6 GB download that uses 7.6 GB of memory, and writes about 8.9 words (12 tokens) a second.

About

It handles more than 35 languages out of the box and was trained on more than 140.

How it compares

Of the 7 chat models Outmake recommends for an 8 GB Mac, it is the 6th fastest by Outmake's estimate.

Outmake estimates K2-Horizon 3.7B writes about 1.2 times as fast on an 8 GB Mac, but it can't read pictures.

Outmake estimates Qwen3.5 0.8B writes about 6.9 times as fast on an 8 GB Mac, and it reads pictures too.

Limitations

It takes up to 30 seconds of audio at a time.

Video is limited to 60 seconds, looked at one frame per second.

It may state facts that are wrong or out of date.

Good to know

The E in E4B stands for effective.

Its training included web pages, code, images and audio, up to January 2025.

Sources: google/gemma-4-E4B-it model card, Outmake's speed estimates, LM Arena and Hugging Face. Every line comes from one of these.

Good at

  • Reading handwriting
  • Reading charts and screens
  • Transcribing speech
  • Translating spoken audio
  • Writing and fixing code

Licence

Apache 2.0. Commercial use: yes. The maker's page has the full terms.

Gemma 4 E4B runs well from a Mac with an M1 and 8 GB of memory, at Q3_K_M, writing about 4.3 words (5.7 tokens) a second. 59 of 59 Mac configurations run it well.

Compare with

The nearest models in size, judged for the same Mac.

Sizes

SizeDownloadMemory at 8KMemory at 32KOpen
UD-Q5_K_XLBest7.6 GB5.3 GB5.5 GBOpen
All 21 sizes
SizeDownloadMemory at 8KMemory at 32KOpen
UD-IQ2_M4.5 GB4.5 GBestimated4.5 GBOpen
UD-IQ3_XXS4.7 GB4.7 GBestimated4.7 GBOpen
UD-Q2_K_XL4.7 GB4.7 GBestimated4.7 GBOpen
Q3_K_S4.9 GB4.9 GBestimated4.9 GBOpen
Q3_K_M5.0 GB5.0 GBestimated5.0 GBOpen
UD-Q3_K_XL5.6 GB5.6 GBestimated5.6 GBOpen
IQ4_XS5.7 GB5.7 GBestimated5.7 GBOpen
IQ4_NL5.8 GB5.8 GBestimated5.8 GBOpen
Q4_05.8 GB5.8 GBestimated5.8 GBOpen
Q4_K_S5.8 GB5.8 GBestimated5.8 GBOpen
Q4_K_M6.0 GB6.0 GBestimated6.0 GBOpen
Q4_16.1 GB6.1 GBestimated6.1 GBOpen
UD-Q4_K_XL6.1 GB6.1 GBestimated6.1 GBOpen
Q5_K_S6.4 GB6.4 GBestimated6.4 GBOpen
Q5_K_M6.5 GB6.5 GBestimated6.5 GBOpen
Q6_K8.1 GB8.1 GBestimated8.1 GBOpen
UD-Q6_K_XL8.4 GB8.4 GBestimated8.4 GBOpen
Q8_09.2 GB9.2 GBestimated9.2 GBOpen
UD-Q8_K_XL9.7 GB9.7 GBestimated9.7 GBOpen
BF1616 GB16 GBestimated16 GBOpen

Memory is what llama.cpp's own calculator reported for each size when the catalog was built, with the app's settings. Smaller, Balanced and Best are the three sizes the store names.

Run It Anywhere

Gemma 4 E4B is an open model, so any app that runs GGUF files can run it. These take the UD-Q5_K_XL size from unsloth straight from Hugging Face.

  • LM StudioMac, Windows, LinuxOpen
  • JanMac, Windows, LinuxOpen
  • MstyMac, Windows, LinuxOpen
  • OllamaMac, Windows, Linuxollama run hf.co/unsloth/gemma-4-E4B-it-GGUF:UD-Q5_K_XL
  • llama.cppMac, Windows, Linuxllama-server -hf unsloth/gemma-4-E4B-it-GGUF:UD-Q5_K_XL
  • Docker Model RunnerMac, Windows, Linuxdocker model run hf.co/unsloth/gemma-4-E4B-it-GGUF:UD-Q5_K_XL
On a PC Graphics Card
Video memoryLargest size that fitsDownloadMemory at 8K
6 GBQ4_K_S5.8 GB5.8 GB
8 GBQ5_K_M6.5 GB6.5 GB
10 GBUD-Q8_K_XL9.7 GB9.7 GB
11 GBUD-Q8_K_XL9.7 GB9.7 GB
12 GBUD-Q8_K_XL9.7 GB9.7 GB
16 GBUD-Q8_K_XL9.7 GB9.7 GB
20 GBBF1616 GB16 GB
24 GBBF1616 GB16 GB
32 GBBF1616 GB16 GB
48 GBBF1616 GB16 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
MacSizeFitMemoryWritesReads
M6 · 16 GBUD-Q5_K_XLRuns great7.6 GB13786
M6 · 24 GBUD-Q5_K_XLRuns great7.6 GB13786
M6 · 32 GBUD-Q5_K_XLRuns great7.6 GB13786
M5 · 16 GBUD-Q5_K_XLRuns great7.6 GB12290
M5 · 24 GBUD-Q5_K_XLRuns great7.6 GB12290
M5 · 32 GBUD-Q5_K_XLRuns great7.6 GB12290
M5 Pro · 24 GBUD-Q5_K_XLRuns great7.6 GB23580
M5 Pro · 48 GBUD-Q5_K_XLRuns great7.6 GB23580
M5 Pro · 64 GBUD-Q5_K_XLRuns great7.6 GB23726
M5 Max · 36 GBUD-Q5_K_XLRuns great7.6 GB331161
M5 Max · 48 GBUD-Q5_K_XLRuns great7.6 GB431451
M5 Max · 64 GBUD-Q5_K_XLRuns great7.6 GB431451
M5 Max · 128 GBUD-Q5_K_XLRuns great7.6 GB431451
M5 Ultra · 96 GBUD-Q5_K_XLRuns great7.6 GB772322
M5 Ultra · 256 GBUD-Q5_K_XLRuns great7.6 GB772902
M5 Ultra · 512 GBUD-Q5_K_XLRuns great7.6 GB772902
M4 · 16 GBUD-Q5_K_XLRuns great7.6 GB8.998
M4 · 24 GBUD-Q5_K_XLRuns great7.6 GB8.998
M4 · 32 GBUD-Q5_K_XLRuns great7.6 GB8.998
M4 Pro · 24 GBUD-Q5_K_XLRuns great7.6 GB18195
M4 Pro · 48 GBUD-Q5_K_XLRuns great7.6 GB18195
M4 Pro · 64 GBUD-Q5_K_XLRuns great7.6 GB18195
M4 Max · 36 GBUD-Q5_K_XLRuns great7.6 GB25390
M4 Max · 48 GBUD-Q5_K_XLRuns great7.6 GB31488
M4 Max · 64 GBUD-Q5_K_XLRuns great7.6 GB31488
M4 Max · 96 GBUD-Q5_K_XLRuns great7.6 GB25390
M4 Max · 128 GBUD-Q5_K_XLRuns great7.6 GB31488
M3 · 8 GBQ3_K_MRuns well5.0 GB6.481
M3 · 16 GBUD-Q5_K_XLRuns great7.6 GB7.681
M3 · 24 GBUD-Q5_K_XLRuns great7.6 GB7.681
M3 Pro · 18 GBUD-Q5_K_XLRuns great7.6 GB11141
M3 Pro · 36 GBUD-Q5_K_XLRuns great7.6 GB11141
M3 Max · 36 GBUD-Q5_K_XLRuns great7.6 GB20303
M3 Max · 48 GBUD-Q5_K_XLRuns great7.6 GB26404
M3 Max · 64 GBUD-Q5_K_XLRuns great7.6 GB26404
M3 Max · 96 GBUD-Q5_K_XLRuns great7.6 GB20303
M3 Max · 128 GBUD-Q5_K_XLRuns great7.6 GB26404
M3 Ultra · 96 GBUD-Q5_K_XLRuns great7.6 GB42605
M3 Ultra · 256 GBUD-Q5_K_XLRuns great7.6 GB42605
M3 Ultra · 512 GBUD-Q5_K_XLRuns great7.6 GB42807
M2 · 8 GBQ3_K_MRuns well5.0 GB6.479
M2 · 16 GBUD-Q5_K_XLRuns great7.6 GB7.679
M2 · 24 GBUD-Q5_K_XLRuns great7.6 GB7.679
M2 Pro · 16 GBUD-Q5_K_XLRuns great7.6 GB14158
M2 Pro · 32 GBUD-Q5_K_XLRuns great7.6 GB14158
M2 Max · 32 GBUD-Q5_K_XLRuns great7.6 GB26297
M2 Max · 64 GBUD-Q5_K_XLRuns great7.6 GB26297
M2 Max · 96 GBUD-Q5_K_XLRuns great7.6 GB26376
M2 Ultra · 64 GBUD-Q5_K_XLRuns great7.6 GB42594
M2 Ultra · 128 GBUD-Q5_K_XLRuns great7.6 GB42594
M2 Ultra · 192 GBUD-Q5_K_XLRuns great7.6 GB42594
M1 · 8 GBQ3_K_MRuns well5.0 GB4.364
M1 · 16 GBUD-Q5_K_XLRuns great7.6 GB5.264
M1 Pro · 16 GBUD-Q5_K_XLRuns great7.6 GB13128
M1 Pro · 32 GBUD-Q5_K_XLRuns great7.6 GB13128
M1 Max · 32 GBUD-Q5_K_XLRuns great7.6 GB22220
M1 Max · 64 GBUD-Q5_K_XLRuns great7.6 GB22220
M1 Ultra · 64 GBUD-Q5_K_XLRuns great7.6 GB34441
M1 Ultra · 128 GBUD-Q5_K_XLRuns great7.6 GB34441

Writes and reads are words a second (a token is about three quarters of a word), 4K tokens into a chat, estimated unless marked measured. The size is the one the store offers that Mac. Constants fitted October 11, 2026; how, and how wrong.

Badge for the model card

Shows on Gemma 4 E4B's Hugging Face card which Macs run it well, linked to this page. It updates every morning.

Runs on Mac badge

Sizes and files are read from unsloth/gemma-4-E4B-it-GGUF on Hugging Face and checked every morning. LM Arena has not rated this model, so the rating is Outmake's estimate from its size and release date; how the estimate is made. Catalog of November 4, 2026.

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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