Outmake Models
Models

Qwen3.5 2B

Alibaba Qwen · March 2026

For trying out ideas or training it on one task, and it takes pictures as well as text.

Rating, estimated
2.9
Downloads
580K
Parameters
2B
Context
256K
Download
1.4 to 4.4 GB
Commercial use
Yes

Runs great on M4 · 16 GB

Outmake picks the Q6_K size: a 2.2 GB download that uses 3.6 GB of memory, and writes about 31 words (41 tokens) a second.

About

The Qwen3.5 design it uses was built to reply with little waiting.

How it compares

Of the 7 chat models Outmake recommends for an 8 GB Mac, Outmake estimates it is the 2nd fastest, and one of 5 that read pictures.

Outmake estimates Qwen3.5 0.8B writes about 1.7 times as fast, and this one about 1.4 times as fast as Gemma 4 E2B.

On Hugging Face it was the 4th most downloaded of those 7 models last month.

Good to know

Qwen3.5 training was scaled across environments with a million agents and tasks of rising difficulty.

The maker says training on pictures and text lost almost no efficiency compared with text alone.

Sources: Qwen/Qwen3.5-2B model card, Outmake's speed estimates, LM Arena and Hugging Face. Every line comes from one of these.

Good at

  • Trying out an idea
  • Training it for one narrow task
  • Text in 201 languages and dialects
  • Using tools inside Outmake

Licence

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

Qwen3.5 2B runs well from a Mac with an M1 and 8 GB of memory, at Q6_K, writing about 18 words (24 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
Q3_K_MSmaller1.8 GB2.4 GB2.5 GBOpen
Q4_K_MBalanced1.9 GB2.5 GB2.7 GBOpen
Q6_KBest2.2 GB2.8 GB3.0 GBOpen
All 22 sizes
SizeDownloadMemory at 8KMemory at 32KOpen
UD-IQ2_XXS1.4 GB2.0 GBestimated2.2 GBOpen
UD-IQ2_M1.5 GB2.1 GBestimated2.3 GBOpen
UD-IQ3_XXS1.6 GB2.2 GBestimated2.3 GBOpen
UD-Q2_K_XL1.6 GB2.2 GBestimated2.4 GBOpen
Q3_K_S1.7 GB2.3 GBestimated2.4 GBOpen
UD-Q3_K_XL1.8 GB2.4 GBestimated2.6 GBOpen
IQ4_XS1.8 GB2.4 GBestimated2.6 GBOpen
IQ4_NL1.9 GB2.5 GBestimated2.6 GBOpen
Q4_01.9 GB2.5 GBestimated2.6 GBOpen
Q4_K_S1.9 GB2.5 GBestimated2.6 GBOpen
Q4_12.0 GB2.5 GBestimated2.7 GBOpen
UD-Q4_K_XL2.0 GB2.6 GBestimated2.7 GBOpen
Q5_K_S2.1 GB2.6 GBestimated2.8 GBOpen
Q5_K_M2.1 GB2.7 GBestimated2.8 GBOpen
UD-Q5_K_XL2.1 GB2.7 GBestimated2.9 GBOpen
UD-Q6_K_XL2.5 GB3.1 GBestimated3.3 GBOpen
Q8_02.7 GB3.3 GBestimated3.4 GBOpen
UD-Q8_K_XL3.5 GB4.1 GBestimated4.2 GBOpen
BF164.4 GB5.0 GBestimated5.2 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

Qwen3.5 2B is an open model, so any app that runs GGUF files can run it. These take the Q4_K_M size from unsloth straight from Hugging Face.

  • LM StudioMac, Windows, LinuxOpen
  • JanMac, Windows, LinuxOpen
  • MstyMac, Windows, LinuxOpen
  • OllamaMac, Windows, Linuxollama run hf.co/unsloth/Qwen3.5-2B-GGUF:Q4_K_M
  • llama.cppMac, Windows, Linuxllama-server -hf unsloth/Qwen3.5-2B-GGUF:Q4_K_M
  • Docker Model RunnerMac, Windows, Linuxdocker model run hf.co/unsloth/Qwen3.5-2B-GGUF:Q4_K_M
On a PC Graphics Card
Video memoryLargest size that fitsDownloadMemory at 8K
6 GBBF164.4 GB5.0 GB
8 GBBF164.4 GB5.0 GB
10 GBBF164.4 GB5.0 GB
11 GBBF164.4 GB5.0 GB
12 GBBF164.4 GB5.0 GB
16 GBBF164.4 GB5.0 GB
20 GBBF164.4 GB5.0 GB
24 GBBF164.4 GB5.0 GB
32 GBBF164.4 GB5.0 GB
48 GBBF164.4 GB5.0 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
MacSizeFitMemoryWritesReads
M6 · 16 GBQ6_KRuns great3.6 GB483144
M6 · 24 GBQ6_KRuns great3.6 GB483144
M6 · 32 GBQ6_KRuns great3.6 GB483144
M5 · 16 GBQ6_KRuns great3.6 GB441161
M5 · 24 GBQ6_KRuns great3.6 GB441161
M5 · 32 GBQ6_KRuns great3.6 GB441161
M5 Pro · 24 GBQ6_KRuns great3.6 GB842322
M5 Pro · 48 GBQ6_KRuns great3.6 GB842322
M5 Pro · 64 GBQ6_KRuns great3.6 GB842902
M5 Max · 36 GBQ6_KRuns great3.6 GB1184644
M5 Max · 48 GBQ6_KRuns great3.6 GB1495804
M5 Max · 64 GBQ6_KRuns great3.6 GB1495804
M5 Max · 128 GBQ6_KRuns great3.6 GB1495804
M5 Ultra · 96 GBQ6_KRuns great3.6 GB2459287
M5 Ultra · 256 GBQ6_KRuns great3.6 GB24511609
M5 Ultra · 512 GBQ6_KRuns great3.6 GB24511609
M4 · 16 GBQ6_KRuns great3.6 GB30390
M4 · 24 GBQ6_KRuns great3.6 GB30390
M4 · 32 GBQ6_KRuns great3.6 GB30390
M4 Pro · 24 GBQ6_KRuns great3.6 GB57780
M4 Pro · 48 GBQ6_KRuns great3.6 GB57780
M4 Pro · 64 GBQ6_KRuns great3.6 GB57780
M4 Max · 36 GBQ6_KRuns great3.6 GB731560
M4 Max · 48 GBQ6_KRuns great3.6 GB861950
M4 Max · 64 GBQ6_KRuns great3.6 GB861950
M4 Max · 96 GBQ6_KRuns great3.6 GB731560
M4 Max · 128 GBQ6_KRuns great3.6 GB861950
M3 · 8 GBQ6_KRuns great3.6 GB27323
M3 · 16 GBQ6_KRuns great3.6 GB27323
M3 · 24 GBQ6_KRuns great3.6 GB27323
M3 Pro · 18 GBQ6_KRuns great3.6 GB38565
M3 Pro · 36 GBQ6_KRuns great3.6 GB38565
M3 Max · 36 GBQ6_KRuns great3.6 GB641211
M3 Max · 48 GBQ6_KRuns great3.6 GB771614
M3 Max · 64 GBQ6_KRuns great3.6 GB771614
M3 Max · 96 GBQ6_KRuns great3.6 GB641211
M3 Max · 128 GBQ6_KRuns great3.6 GB771614
M3 Ultra · 96 GBQ6_KRuns great3.6 GB1132422
M3 Ultra · 256 GBQ6_KRuns great3.6 GB1132422
M3 Ultra · 512 GBQ6_KRuns great3.6 GB1133229
M2 · 8 GBQ6_KRuns great3.6 GB27317
M2 · 16 GBQ6_KRuns great3.6 GB27317
M2 · 24 GBQ6_KRuns great3.6 GB27317
M2 Pro · 16 GBQ6_KRuns great3.6 GB47634
M2 Pro · 32 GBQ6_KRuns great3.6 GB47634
M2 Max · 32 GBQ6_KRuns great3.6 GB771189
M2 Max · 64 GBQ6_KRuns great3.6 GB771189
M2 Max · 96 GBQ6_KRuns great3.6 GB771506
M2 Ultra · 64 GBQ6_KRuns great3.6 GB1122377
M2 Ultra · 128 GBQ6_KRuns great3.6 GB1122377
M2 Ultra · 192 GBQ6_KRuns great3.6 GB1122377
M1 · 8 GBQ6_KRuns great3.6 GB18257
M1 · 16 GBQ6_KRuns great3.6 GB18257
M1 Pro · 16 GBQ6_KRuns great3.6 GB41514
M1 Pro · 32 GBQ6_KRuns great3.6 GB41514
M1 Max · 32 GBQ6_KRuns great3.6 GB62881
M1 Max · 64 GBQ6_KRuns great3.6 GB62881
M1 Ultra · 64 GBQ6_KRuns great3.6 GB821762
M1 Ultra · 128 GBQ6_KRuns great3.6 GB821762

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 Qwen3.5 2B'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/Qwen3.5-2B-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

Open in OutmakeHugging Face

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