Outmake Models
Models

Gemma 3 1B

Google · March 2025

A 1B chat model from Google.

Downloads
620K
Likes
230
Parameters
1B
Context
32K
Licence
gemma

Runs great on M4 · 16 GB

The Q5_K_S size from unsloth is the one to get: a 0.8 GB download that uses 1.0 GB of memory, and writes about 51 words a second.

Gemma 3 1B 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/gemma-3-1b-it-GGUF on Hugging Face. A smaller size is a smaller download and a little less accurate.

SizeDownloadMemory at 8KGet
UD-IQ1_S0.6 GB0.7 GBestimatedOpen
UD-IQ1_M0.6 GB0.7 GBestimatedOpen
UD-IQ2_XXS0.6 GB0.7 GBestimatedOpen
UD-IQ2_M0.6 GB0.7 GBestimatedOpen
UD-IQ3_XXS0.6 GB0.7 GBestimatedOpen
Q3_K_S0.7 GB0.8 GBestimatedOpen
Q2_K0.7 GB0.8 GBestimatedOpen
Q2_K_L0.7 GB0.8 GBestimatedOpen
UD-Q2_K_XL0.7 GB0.8 GBestimatedOpen
IQ4_XS0.7 GB0.8 GBestimatedOpen
IQ4_NL0.7 GB0.9 GBestimatedOpen
Q3_K_M0.7 GB0.9 GBestimatedOpen
UD-Q3_K_XL0.7 GB0.9 GBestimatedOpen
Q4_10.8 GB0.9 GBestimatedOpen
Q4_K_S0.8 GB0.9 GBestimatedOpen
Q4_K_M0.8 GB0.9 GBestimatedOpen
UD-Q4_K_XL0.8 GB0.9 GBestimatedOpen
Q5_K_S0.8 GB1.0 GBestimatedOpen

Run It Anywhere

Gemma 3 1B is an open model, so any app that runs GGUF files can run it. These take the Q5_K_S 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-3-1b-it-GGUF:Q5_K_S
  • llama.cppMac, Windows, Linuxllama-server -hf unsloth/gemma-3-1b-it-GGUF:Q5_K_S
  • Docker Model RunnerMac, Windows, Linuxdocker model run hf.co/unsloth/gemma-3-1b-it-GGUF:Q5_K_S
On a PC Graphics Card
Video memoryLargest size that fitsDownloadMemory at 8K
6 GBQ5_K_S0.8 GB1.0 GB
8 GBQ5_K_S0.8 GB1.0 GB
10 GBQ5_K_S0.8 GB1.0 GB
11 GBQ5_K_S0.8 GB1.0 GB
12 GBQ5_K_S0.8 GB1.0 GB
16 GBQ5_K_S0.8 GB1.0 GB
20 GBQ5_K_S0.8 GB1.0 GB
24 GBQ5_K_S0.8 GB1.0 GB
32 GBQ5_K_S0.8 GB1.0 GB
48 GBQ5_K_S0.8 GB1.0 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 GBQ5_K_SRuns great1.0 GB82
M6 · 24 GBQ5_K_SRuns great1.0 GB82
M6 · 32 GBQ5_K_SRuns great1.0 GB82
M5 · 16 GBQ5_K_SRuns great1.0 GB79
M5 · 24 GBQ5_K_SRuns great1.0 GB79
M5 · 32 GBQ5_K_SRuns great1.0 GB79
M5 Pro · 24 GBQ5_K_SRuns great1.0 GB141
M5 Pro · 48 GBQ5_K_SRuns great1.0 GB141
M5 Pro · 64 GBQ5_K_SRuns great1.0 GB141
M5 Max · 36 GBQ5_K_SRuns great1.0 GB190
M5 Max · 48 GBQ5_K_SRuns great1.0 GB231
M5 Max · 64 GBQ5_K_SRuns great1.0 GB231
M5 Max · 128 GBQ5_K_SRuns great1.0 GB231
M5 Ultra · 96 GBQ5_K_SRuns great1.0 GB338
M5 Ultra · 256 GBQ5_K_SRuns great1.0 GB338
M5 Ultra · 512 GBQ5_K_SRuns great1.0 GB338
M4 · 16 GBQ5_K_SRuns great1.0 GB51
M4 · 24 GBQ5_K_SRuns great1.0 GB51
M4 · 32 GBQ5_K_SRuns great1.0 GB51
M4 Pro · 24 GBQ5_K_SRuns great1.0 GB82
M4 Pro · 48 GBQ5_K_SRuns great1.0 GB82
M4 Pro · 64 GBQ5_K_SRuns great1.0 GB82
M4 Max · 36 GBQ5_K_SRuns great1.0 GB99
M4 Max · 48 GBQ5_K_SRuns great1.0 GB109
M4 Max · 64 GBQ5_K_SRuns great1.0 GB109
M4 Max · 96 GBQ5_K_SRuns great1.0 GB99
M4 Max · 128 GBQ5_K_SRuns great1.0 GB109
M3 · 8 GBQ5_K_SRuns great1.0 GB46
M3 · 16 GBQ5_K_SRuns great1.0 GB46
M3 · 24 GBQ5_K_SRuns great1.0 GB46
M3 Pro · 18 GBQ5_K_SRuns great1.0 GB62
M3 Pro · 36 GBQ5_K_SRuns great1.0 GB62
M3 Max · 36 GBQ5_K_SRuns great1.0 GB94
M3 Max · 48 GBQ5_K_SRuns great1.0 GB108
M3 Max · 64 GBQ5_K_SRuns great1.0 GB108
M3 Max · 96 GBQ5_K_SRuns great1.0 GB94
M3 Max · 128 GBQ5_K_SRuns great1.0 GB108
M3 Ultra · 96 GBQ5_K_SRuns great1.0 GB138
M3 Ultra · 256 GBQ5_K_SRuns great1.0 GB138
M3 Ultra · 512 GBQ5_K_SRuns great1.0 GB138
M2 · 8 GBQ5_K_SRuns great1.0 GB46
M2 · 16 GBQ5_K_SRuns great1.0 GB46
M2 · 24 GBQ5_K_SRuns great1.0 GB46
M2 Pro · 16 GBQ5_K_SRuns great1.0 GB74
M2 Pro · 32 GBQ5_K_SRuns great1.0 GB74
M2 Max · 32 GBQ5_K_SRuns great1.0 GB107
M2 Max · 64 GBQ5_K_SRuns great1.0 GB107
M2 Max · 96 GBQ5_K_SRuns great1.0 GB107
M2 Ultra · 64 GBQ5_K_SRuns great1.0 GB136
M2 Ultra · 128 GBQ5_K_SRuns great1.0 GB136
M2 Ultra · 192 GBQ5_K_SRuns great1.0 GB136
M1 · 8 GBQ5_K_SRuns great1.0 GB31
M1 · 16 GBQ5_K_SRuns great1.0 GB31
M1 Pro · 16 GBQ5_K_SRuns great1.0 GB59
M1 Pro · 32 GBQ5_K_SRuns great1.0 GB59
M1 Max · 32 GBQ5_K_SRuns great1.0 GB78
M1 Max · 64 GBQ5_K_SRuns great1.0 GB78
M1 Ultra · 64 GBQ5_K_SRuns great1.0 GB93
M1 Ultra · 128 GBQ5_K_SRuns great1.0 GB93

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

Packaged by

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

Information

Maker
Google
Released
March 2025
Parameters
1B
Longest chat
32K tokens
Reads pictures
No
Licence
gemma
Downloads this month
619,824
Likes
230
Sizes
18, 0.6 to 0.8 GB
Kind
Maker's release

Badge for the model card

Shows on Gemma 3 1B'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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