Outmake Models
Models

Qwen3.5 0.8B

Alibaba Qwen · March 2026

For trying out ideas on an 8 GB Mac, the fastest chat model Outmake recommends, and it reads pictures.

Rating, estimated
2.7
Downloads
446K
Parameters
0.8B
Context
256K
Download
0.5 to 1.7 GB
Commercial use
Yes

Runs great on M4 · 16 GB

Outmake picks the Q6_K size: a 0.8 GB download that uses 2.4 GB of memory, and writes about 49 words (65 tokens) a second.

About

The maker built it for trying out ideas, research, and further training on one narrow task.

How it compares

Of the chat models Outmake recommends for an 8 GB Mac, Outmake estimates it writes about 1.7 times as fast as Qwen3.5 2B, the next fastest.

Of the 7 chat models Outmake recommends for an 8 GB Mac, 5 read pictures and this is one. The two K2-Horizon models can't.

Of the 7 chat models Outmake recommends for an 8 GB Mac, it ranked 5th in Hugging Face downloads last month.

Limitations

Because it is small, the maker intends it for trials, research and further training.

Good to know

Its family practised by trial and reward in settings with a million agents, on tasks that grew harder.

Sources: Qwen/Qwen3.5-0.8B model card, Outmake's speed estimates, LM Arena and Hugging Face. Every line comes from one of these.

Good at

  • Chats in many languages
  • Tasks that use tools

Licence

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

Qwen3.5 0.8B runs well from a Mac with an M1 and 8 GB of memory, at Q6_K, writing about 29 words (39 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_MSmaller0.7 GB1.3 GB1.4 GBOpen
Q4_K_MBalanced0.7 GB1.3 GB1.5 GBOpen
Q6_KBest0.8 GB1.4 GB1.6 GBOpen
All 22 sizes
SizeDownloadMemory at 8KMemory at 32KOpen
UD-IQ2_XXS0.5 GB1.1 GBestimated1.3 GBOpen
UD-IQ2_M0.6 GB1.2 GBestimated1.3 GBOpen
UD-IQ3_XXS0.6 GB1.2 GBestimated1.4 GBOpen
UD-Q2_K_XL0.6 GB1.2 GBestimated1.4 GBOpen
Q3_K_S0.6 GB1.2 GBestimated1.4 GBOpen
UD-Q3_K_XL0.7 GB1.3 GBestimated1.5 GBOpen
IQ4_XS0.7 GB1.3 GBestimated1.5 GBOpen
IQ4_NL0.7 GB1.3 GBestimated1.5 GBOpen
Q4_00.7 GB1.3 GBestimated1.5 GBOpen
Q4_K_S0.7 GB1.3 GBestimated1.5 GBOpen
Q4_10.7 GB1.3 GBestimated1.5 GBOpen
UD-Q4_K_XL0.8 GB1.3 GBestimated1.5 GBOpen
Q5_K_S0.8 GB1.4 GBestimated1.5 GBOpen
Q5_K_M0.8 GB1.4 GBestimated1.6 GBOpen
UD-Q5_K_XL0.8 GB1.4 GBestimated1.6 GBOpen
UD-Q6_K_XL1.0 GB1.6 GBestimated1.7 GBOpen
Q8_01.0 GB1.6 GBestimated1.8 GBOpen
UD-Q8_K_XL1.4 GB2.0 GBestimated2.2 GBOpen
BF161.7 GB2.3 GBestimated2.5 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 0.8B 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/Qwen3.5-0.8B-GGUF:Q4_K_M
  • llama.cppMac, Windows, Linuxllama-server -hf unsloth/Qwen3.5-0.8B-GGUF:Q4_K_M
  • Docker Model RunnerMac, Windows, Linuxdocker model run hf.co/unsloth/Qwen3.5-0.8B-GGUF:Q4_K_M
On a PC Graphics Card
Video memoryLargest size that fitsDownloadMemory at 8K
6 GBBF161.7 GB2.3 GB
8 GBBF161.7 GB2.3 GB
10 GBBF161.7 GB2.3 GB
11 GBBF161.7 GB2.3 GB
12 GBBF161.7 GB2.3 GB
16 GBBF161.7 GB2.3 GB
20 GBBF161.7 GB2.3 GB
24 GBBF161.7 GB2.3 GB
32 GBBF161.7 GB2.3 GB
48 GBBF161.7 GB2.3 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 great2.4 GB807859
M6 · 24 GBQ6_KRuns great2.4 GB807859
M6 · 32 GBQ6_KRuns great2.4 GB807859
M5 · 16 GBQ6_KRuns great2.4 GB772902
M5 · 24 GBQ6_KRuns great2.4 GB772902
M5 · 32 GBQ6_KRuns great2.4 GB772902
M5 Pro · 24 GBQ6_KRuns great2.4 GB1395804
M5 Pro · 48 GBQ6_KRuns great2.4 GB1395804
M5 Pro · 64 GBQ6_KRuns great2.4 GB1397255
M5 Max · 36 GBQ6_KRuns great2.4 GB18911609
M5 Max · 48 GBQ6_KRuns great2.4 GB23114511
M5 Max · 64 GBQ6_KRuns great2.4 GB23114511
M5 Max · 128 GBQ6_KRuns great2.4 GB23114511
M5 Ultra · 96 GBQ6_KRuns great2.4 GB34623218
M5 Ultra · 256 GBQ6_KRuns great2.4 GB34629022
M5 Ultra · 512 GBQ6_KRuns great2.4 GB34629022
M4 · 16 GBQ6_KRuns great2.4 GB49975
M4 · 24 GBQ6_KRuns great2.4 GB49975
M4 · 32 GBQ6_KRuns great2.4 GB49975
M4 Pro · 24 GBQ6_KRuns great2.4 GB821950
M4 Pro · 48 GBQ6_KRuns great2.4 GB821950
M4 Pro · 64 GBQ6_KRuns great2.4 GB821950
M4 Max · 36 GBQ6_KRuns great2.4 GB1003900
M4 Max · 48 GBQ6_KRuns great2.4 GB1124875
M4 Max · 64 GBQ6_KRuns great2.4 GB1124875
M4 Max · 96 GBQ6_KRuns great2.4 GB1003900
M4 Max · 128 GBQ6_KRuns great2.4 GB1124875
M3 · 8 GBQ6_KRuns great2.4 GB44807
M3 · 16 GBQ6_KRuns great2.4 GB44807
M3 · 24 GBQ6_KRuns great2.4 GB44807
M3 Pro · 18 GBQ6_KRuns great2.4 GB601413
M3 Pro · 36 GBQ6_KRuns great2.4 GB601413
M3 Max · 36 GBQ6_KRuns great2.4 GB933027
M3 Max · 48 GBQ6_KRuns great2.4 GB1084036
M3 Max · 64 GBQ6_KRuns great2.4 GB1084036
M3 Max · 96 GBQ6_KRuns great2.4 GB933027
M3 Max · 128 GBQ6_KRuns great2.4 GB1084036
M3 Ultra · 96 GBQ6_KRuns great2.4 GB1426054
M3 Ultra · 256 GBQ6_KRuns great2.4 GB1426054
M3 Ultra · 512 GBQ6_KRuns great2.4 GB1428072
M2 · 8 GBQ6_KRuns great2.4 GB44792
M2 · 16 GBQ6_KRuns great2.4 GB44792
M2 · 24 GBQ6_KRuns great2.4 GB44792
M2 Pro · 16 GBQ6_KRuns great2.4 GB731585
M2 Pro · 32 GBQ6_KRuns great2.4 GB731585
M2 Max · 32 GBQ6_KRuns great2.4 GB1072972
M2 Max · 64 GBQ6_KRuns great2.4 GB1072972
M2 Max · 96 GBQ6_KRuns great2.4 GB1073764
M2 Ultra · 64 GBQ6_KRuns great2.4 GB1415944
M2 Ultra · 128 GBQ6_KRuns great2.4 GB1415944
M2 Ultra · 192 GBQ6_KRuns great2.4 GB1415944
M1 · 8 GBQ6_KRuns great2.4 GB29642
M1 · 16 GBQ6_KRuns great2.4 GB29642
M1 Pro · 16 GBQ6_KRuns great2.4 GB591285
M1 Pro · 32 GBQ6_KRuns great2.4 GB591285
M1 Max · 32 GBQ6_KRuns great2.4 GB802203
M1 Max · 64 GBQ6_KRuns great2.4 GB802203
M1 Ultra · 64 GBQ6_KRuns great2.4 GB974405
M1 Ultra · 128 GBQ6_KRuns great2.4 GB974405

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 0.8B'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/Qwen3.5-0.8B-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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