Outmake Models
Models

Sage A1.5

InternScience · October 2026

A 36B, 3.5B active chat model from InternScience that reads pictures as well as text.

Downloads
901K
Likes
113
Parameters
36B, 3.5B active
Context
256K
Licence
apache-2.0

Too big for this Mac

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

Sage A1.5 runs well from a Mac with an M2 and 24 GB of memory. 47 of 59 Mac configurations run it well.

Compare with

The nearest models in size.

Sizes

From InternScience/Sage-A1.5-Q4_K_M-GGUF on Hugging Face. A smaller size is a smaller download and a little less accurate.

SizeDownloadMemory at 8KGet
Q4_K_M22 GB22 GBestimatedOpen

Run It Anywhere

Sage A1.5 is an open model, so any app that runs GGUF files can run it. These take the Q4_K_M size from InternScience straight from Hugging Face.

  • LM StudioMac, Windows, LinuxOpen
  • JanMac, Windows, LinuxOpen
  • MstyMac, Windows, LinuxOpen
  • OllamaMac, Windows, Linuxollama run hf.co/InternScience/Sage-A1.5-Q4_K_M-GGUF:Q4_K_M
  • llama.cppMac, Windows, Linuxllama-server -hf InternScience/Sage-A1.5-Q4_K_M-GGUF:Q4_K_M
  • Docker Model RunnerMac, Windows, Linuxdocker model run hf.co/InternScience/Sage-A1.5-Q4_K_M-GGUF:Q4_K_M
On a PC Graphics Card
Video memoryLargest size that fitsDownloadMemory at 8K
6 GBNone worth runningneeds 22 GB
8 GBNone worth runningneeds 22 GB
10 GBNone worth runningneeds 22 GB
11 GBNone worth runningneeds 22 GB
12 GBNone worth runningneeds 22 GB
16 GBNone worth runningneeds 22 GB
20 GBNone worth runningneeds 22 GB
24 GBQ4_K_M22 GB22 GB
32 GBQ4_K_M22 GB22 GB
48 GBQ4_K_M22 GB22 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 GBQ2_KToo big16 GB
M6 · 24 GBIQ3_SRuns well16 GB27
M6 · 32 GBQ4_K_SRuns well21 GB23
M5 · 16 GBQ2_KToo big16 GB
M5 · 24 GBIQ3_SRuns well16 GB26
M5 · 32 GBQ4_K_SRuns well21 GB21
M5 Pro · 24 GBIQ3_SRuns well16 GB47
M5 Pro · 48 GBQ4_K_MRuns great23 GB38
M5 Pro · 64 GBQ6_KRuns great31 GB32
M5 Max · 36 GBQ4_K_MRuns well23 GB53
M5 Max · 48 GBQ4_K_MRuns great23 GB67
M5 Max · 64 GBQ6_KRuns great31 GB58
M5 Max · 128 GBQ8_0Runs great41 GB55
M5 Ultra · 96 GBQ8_0Runs great41 GB94
M5 Ultra · 256 GBQ8_0Runs great41 GB94
M5 Ultra · 512 GBQ8_0Runs great41 GB94
M4 · 16 GBQ2_KToo big16 GB
M4 · 24 GBIQ3_SRuns well16 GB17
M4 · 32 GBQ4_K_SRuns well21 GB15
M4 Pro · 24 GBIQ3_SRuns well16 GB30
M4 Pro · 48 GBQ4_K_MRuns great23 GB26
M4 Pro · 64 GBQ6_KRuns great31 GB22
M4 Max · 36 GBQ4_K_MRuns well23 GB33
M4 Max · 48 GBQ4_K_MRuns great23 GB38
M4 Max · 64 GBQ6_KRuns great31 GB34
M4 Max · 96 GBQ8_0Runs great41 GB29
M4 Max · 128 GBQ8_0Runs great41 GB34
M3 · 8 GBQ2_KToo big16 GB
M3 · 16 GBQ2_KToo big16 GB
M3 · 24 GBIQ3_SRuns well16 GB16
M3 Pro · 18 GBQ2_KTight fit14 GB23
M3 Pro · 36 GBQ4_K_MRuns well23 GB18
M3 Max · 36 GBQ4_K_MRuns well23 GB29
M3 Max · 48 GBQ4_K_MRuns great23 GB35
M3 Max · 64 GBQ6_KRuns great31 GB30
M3 Max · 96 GBQ8_0Runs great41 GB24
M3 Max · 128 GBQ8_0Runs great41 GB30
M3 Ultra · 96 GBQ8_0Runs great41 GB46
M3 Ultra · 256 GBQ8_0Runs great41 GB46
M3 Ultra · 512 GBQ8_0Runs great41 GB46
M2 · 8 GBQ2_KToo big16 GB
M2 · 16 GBQ2_KToo big16 GB
M2 · 24 GBIQ3_SRuns well16 GB15
M2 Pro · 16 GBQ2_KToo big16 GB
M2 Pro · 32 GBQ4_K_SRuns well21 GB23
M2 Max · 32 GBQ4_K_SRuns well21 GB36
M2 Max · 64 GBQ6_KRuns great31 GB30
M2 Max · 96 GBQ8_0Runs great41 GB30
M2 Ultra · 64 GBQ6_KRuns great31 GB44
M2 Ultra · 128 GBQ8_0Runs great41 GB45
M2 Ultra · 192 GBQ8_0Runs great41 GB45
M1 · 8 GBQ2_KToo big16 GB
M1 · 16 GBQ2_KToo big16 GB
M1 Pro · 16 GBQ2_KToo big16 GB
M1 Pro · 32 GBQ4_K_SRuns well21 GB19
M1 Max · 32 GBQ4_K_SRuns well21 GB28
M1 Max · 64 GBQ6_KRuns great31 GB24
M1 Ultra · 64 GBQ6_KRuns great31 GB33
M1 Ultra · 128 GBQ8_0Runs great41 GB35

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

Packaged by

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

Information

Maker
InternScience
Released
October 2026
Parameters
36B, 3.5B active
Longest chat
256K tokens
Reads pictures
Yes
Licence
apache-2.0
Downloads this month
900,761
Likes
113
Sizes
1, 22 to 22 GB
Kind
Maker's release

Badge for the model card

Shows on Sage A1.5'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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