Outmake Models
Models

Qwythos 27B V1

empero-ai · July 2026

A 27B chat model from empero-ai that reads pictures as well as text.

Downloads
189K
Likes
77
Parameters
27B
Context
1M
Licence
apache-2.0

Too big for this Mac

Its smallest size needs 59 GB of memory, more than M4 · 16 GB can give it.

Qwythos 27B V1 runs well from a Mac with an M1 Pro and 32 GB of memory. 40 of 59 Mac configurations run it well.

Compare with

The nearest models in size.

Sizes

From empero-ai/Qwythos-27B-v1-GGUF on Hugging Face. A smaller size is a smaller download and a little less accurate.

SizeDownloadMemory at 8KGet
Q4_K_M17 GB18 GBestimatedOpen
Q5_K_M20 GB20 GBestimatedOpen
Q6_K22 GB23 GBestimatedOpen
Q8_029 GB29 GBestimatedOpen
BF1654 GB54 GBestimatedOpen

Run It Anywhere

Qwythos 27B V1 is an open model, so any app that runs GGUF files can run it. These take the Q4_K_M size from empero-ai straight from Hugging Face.

  • LM StudioMac, Windows, LinuxOpen
  • JanMac, Windows, LinuxOpen
  • MstyMac, Windows, LinuxOpen
  • OllamaMac, Windows, Linuxollama run hf.co/empero-ai/Qwythos-27B-v1-GGUF:Q4_K_M
  • llama.cppMac, Windows, Linuxllama-server -hf empero-ai/Qwythos-27B-v1-GGUF:Q4_K_M
  • Docker Model RunnerMac, Windows, Linuxdocker model run hf.co/empero-ai/Qwythos-27B-v1-GGUF:Q4_K_M
On a PC Graphics Card
Video memoryLargest size that fitsDownloadMemory at 8K
6 GBNone worth runningneeds 18 GB
8 GBNone worth runningneeds 18 GB
10 GBNone worth runningneeds 18 GB
11 GBNone worth runningneeds 18 GB
12 GBNone worth runningneeds 18 GB
16 GBNone worth runningneeds 18 GB
20 GBQ4_K_M17 GB18 GB
24 GBQ6_K22 GB23 GB
32 GBQ8_029 GB29 GB
48 GBQ8_029 GB29 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 GBQ4_K_MToo big59 GB
M6 · 24 GBQ4_K_MTight fit19 GB4.8
M6 · 32 GBQ5_K_MRuns well21 GB4.3
M5 · 16 GBQ4_K_MToo big59 GB
M5 · 24 GBQ4_K_MTight fit19 GB4.4
M5 · 32 GBQ5_K_MRuns well21 GB3.9
M5 Pro · 24 GBQ4_K_MTight fit19 GB8.7
M5 Pro · 48 GBQ6_KRuns great23 GB7.3
M5 Pro · 64 GBQ8_0Runs great30 GB6.6
M5 Max · 36 GBQ6_KRuns well24 GB11
M5 Max · 48 GBQ6_KRuns great23 GB14
M5 Max · 64 GBQ8_0Runs great30 GB13
M5 Max · 128 GBQ8_0Runs great50 GB13
M5 Ultra · 96 GBQ8_0Runs great39 GB25
M5 Ultra · 256 GBQ8_0Runs great71 GB25
M5 Ultra · 512 GBQ8_0Runs great71 GB25
M4 · 16 GBQ4_K_MToo big59 GB
M4 · 24 GBQ4_K_MTight fit19 GB3.5
M4 · 32 GBQ5_K_MRuns well21 GB3.1
M4 Pro · 24 GBQ4_K_MTight fit19 GB7.4
M4 Pro · 48 GBQ6_KRuns great23 GB6
M4 Pro · 64 GBQ8_0Runs great30 GB5.6
M4 Max · 36 GBQ6_KRuns well24 GB8.6
M4 Max · 48 GBQ6_KRuns great23 GB11
M4 Max · 64 GBQ8_0Runs great30 GB10
M4 Max · 96 GBQ8_0Runs great39 GB8
M4 Max · 128 GBQ8_0Runs great50 GB10
M3 · 8 GBQ4_K_MToo big59 GB
M3 · 16 GBQ4_K_MToo big59 GB
M3 · 24 GBQ4_K_MTight fit19 GB2.9
M3 Pro · 18 GBQ4_K_MToo big59 GB
M3 Pro · 36 GBQ6_KRuns well24 GB3.5
M3 Max · 36 GBQ6_KRuns well24 GB6.6
M3 Max · 48 GBQ6_KRuns great23 GB8.6
M3 Max · 64 GBQ8_0Runs great30 GB8
M3 Max · 96 GBQ8_0Runs great39 GB6.1
M3 Max · 128 GBQ8_0Runs great50 GB8
M3 Ultra · 96 GBQ8_0Runs great39 GB15
M3 Ultra · 256 GBQ8_0Runs great71 GB15
M3 Ultra · 512 GBQ8_0Runs great71 GB15
M2 · 8 GBQ4_K_MToo big59 GB
M2 · 16 GBQ4_K_MToo big59 GB
M2 · 24 GBQ4_K_MTight fit19 GB2.9
M2 Pro · 16 GBQ4_K_MToo big59 GB
M2 Pro · 32 GBQ5_K_MRuns well21 GB5
M2 Max · 32 GBQ5_K_MRuns well21 GB9.4
M2 Max · 64 GBQ8_0Runs great30 GB8
M2 Max · 96 GBQ8_0Runs great39 GB8
M2 Ultra · 64 GBQ8_0Runs great30 GB15
M2 Ultra · 128 GBQ8_0Runs great50 GB15
M2 Ultra · 192 GBQ8_0Runs great71 GB15
M1 · 8 GBQ4_K_MToo big59 GB
M1 · 16 GBQ4_K_MToo big59 GB
M1 Pro · 16 GBQ4_K_MToo big59 GB
M1 Pro · 32 GBQ5_K_MRuns well21 GB4.8
M1 Max · 32 GBQ5_K_MRuns well21 GB8.7
M1 Max · 64 GBQ8_0Runs great30 GB7.5
M1 Ultra · 64 GBQ8_0Runs great30 GB13
M1 Ultra · 128 GBQ8_0Runs great50 GB13

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

Information

Maker
empero-ai
Released
July 2026
Parameters
27B
Longest chat
1M tokens
Reads pictures
Yes
Licence
apache-2.0
Downloads this month
188,932
Likes
77
Sizes
5, 17 to 54 GB
Kind
Maker's release

Badge for the model card

Shows on Qwythos 27B V1'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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