Hugging FaceA 27B chat model from LessThanThreeAI that reads pictures as well as text.
- Downloads
- 86K
- Likes
- 232
- Parameters
- 27B
- Context
- 256K
- Licence
- apache-2.0
Too big for this Mac
Its smallest size needs 24 GB of memory, more than M4 · 16 GB can give it.
Qwen3.8 27B Humanlike 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 Guile/Qwen3.8-27B-Humanlike-Chat-GGUF on Hugging Face. A smaller size is a smaller download and a little less accurate.
| Size | Download | Memory at 8K | Get |
|---|---|---|---|
| Q3_K_M | 13 GB | 14 GBestimated | Open |
| Q4_K_M | 17 GB | 17 GBestimated | Open |
| Q5_K_M | 19 GB | 20 GBestimated | Open |
| Q6_K | 22 GB | 23 GBestimated | Open |
| Q8_0 | 29 GB | 29 GBestimated | Open |
| BF16 | 54 GB | 54 GBestimated | Open |
Run It Anywhere
Qwen3.8 27B Humanlike is an open model, so any app that runs GGUF files can run it. These take the Q3_K_M size from Guile straight from Hugging Face.
- LM StudioMac, Windows, Linux
Open - JanMac, Windows, Linux
Open - MstyMac, Windows, Linux
Open - OllamaMac, Windows, Linux
ollama run hf.co/Guile/Qwen3.8-27B-Humanlike-Chat-GGUF:Q3_K_M - llama.cppMac, Windows, Linux
llama-server -hf Guile/Qwen3.8-27B-Humanlike-Chat-GGUF:Q3_K_M - Docker Model RunnerMac, Windows, Linux
docker model run hf.co/Guile/Qwen3.8-27B-Humanlike-Chat-GGUF:Q3_K_M
On a PC Graphics Card
| Video memory | Largest size that fits | Download | Memory at 8K |
|---|---|---|---|
| 6 GB | None worth running | needs 14 GB | |
| 8 GB | None worth running | needs 14 GB | |
| 10 GB | None worth running | needs 14 GB | |
| 11 GB | None worth running | needs 14 GB | |
| 12 GB | None worth running | needs 14 GB | |
| 16 GB | Q3_K_M | 13 GB | 14 GB |
| 20 GB | Q5_K_M | 19 GB | 20 GB |
| 24 GB | Q6_K | 22 GB | 23 GB |
| 32 GB | Q8_0 | 29 GB | 29 GB |
| 48 GB | Q8_0 | 29 GB | 29 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
| Mac | Size | Fit | Memory | Writes |
|---|---|---|---|---|
| M6 · 16 GB | Q3_K_M | Too big | 24 GB | |
| M6 · 24 GB | IQ4_XS | Runs well | 16 GB | 5.4 |
| M6 · 32 GB | Q3_K_M | Runs great | 15 GB | 6 |
| M5 · 16 GB | Q3_K_M | Too big | 24 GB | |
| M5 · 24 GB | IQ4_XS | Runs well | 16 GB | 4.9 |
| M5 · 32 GB | Q3_K_M | Runs great | 15 GB | 5.5 |
| M5 Pro · 24 GB | IQ4_XS | Runs well | 16 GB | 9.7 |
| M5 Pro · 48 GB | Q6_K | Runs great | 23 GB | 7.4 |
| M5 Pro · 64 GB | Q8_0 | Runs great | 30 GB | 6.6 |
| M5 Max · 36 GB | Q4_K_M | Runs great | 17 GB | 13 |
| M5 Max · 48 GB | Q6_K | Runs great | 23 GB | 14 |
| M5 Max · 64 GB | Q8_0 | Runs great | 30 GB | 13 |
| M5 Max · 128 GB | Q8_0 | Runs great | 39 GB | 13 |
| M5 Ultra · 96 GB | Q8_0 | Runs great | 39 GB | 25 |
| M5 Ultra · 256 GB | Q8_0 | Runs great | 39 GB | 25 |
| M5 Ultra · 512 GB | Q8_0 | Runs great | 39 GB | 25 |
| M4 · 16 GB | Q3_K_M | Too big | 24 GB | |
| M4 · 24 GB | IQ4_XS | Runs well | 16 GB | 3.9 |
| M4 · 32 GB | Q3_K_M | Runs great | 15 GB | 4.3 |
| M4 Pro · 24 GB | IQ4_XS | Runs well | 16 GB | 8.2 |
| M4 Pro · 48 GB | Q6_K | Runs great | 23 GB | 6.1 |
| M4 Pro · 64 GB | Q8_0 | Runs great | 30 GB | 5.6 |
| M4 Max · 36 GB | Q4_K_M | Runs great | 17 GB | 11 |
| M4 Max · 48 GB | Q6_K | Runs great | 23 GB | 11 |
| M4 Max · 64 GB | Q8_0 | Runs great | 30 GB | 10 |
| M4 Max · 96 GB | Q8_0 | Runs great | 39 GB | 8 |
| M4 Max · 128 GB | Q8_0 | Runs great | 39 GB | 10 |
| M3 · 8 GB | Q3_K_M | Too big | 24 GB | |
| M3 · 16 GB | Q3_K_M | Too big | 24 GB | |
| M3 · 24 GB | IQ4_XS | Runs well | 16 GB | 3.3 |
| M3 Pro · 18 GB | Q3_K_M | Tight fit | 14 GB | 5.3 |
| M3 Pro · 36 GB | Q4_K_M | Runs great | 17 GB | 4.5 |
| M3 Max · 36 GB | Q4_K_M | Runs great | 17 GB | 8.5 |
| M3 Max · 48 GB | Q6_K | Runs great | 23 GB | 8.7 |
| M3 Max · 64 GB | Q8_0 | Runs great | 30 GB | 8 |
| M3 Max · 96 GB | Q8_0 | Runs great | 39 GB | 6.1 |
| M3 Max · 128 GB | Q8_0 | Runs great | 39 GB | 8 |
| M3 Ultra · 96 GB | Q8_0 | Runs great | 39 GB | 15 |
| M3 Ultra · 256 GB | Q8_0 | Runs great | 39 GB | 15 |
| M3 Ultra · 512 GB | Q8_0 | Runs great | 39 GB | 15 |
| M2 · 8 GB | Q3_K_M | Too big | 24 GB | |
| M2 · 16 GB | Q3_K_M | Too big | 24 GB | |
| M2 · 24 GB | IQ4_XS | Runs well | 16 GB | 3.3 |
| M2 Pro · 16 GB | Q3_K_M | Too big | 24 GB | |
| M2 Pro · 32 GB | Q3_K_M | Runs great | 15 GB | 6.9 |
| M2 Max · 32 GB | Q3_K_M | Runs great | 15 GB | 13 |
| M2 Max · 64 GB | Q8_0 | Runs great | 30 GB | 8 |
| M2 Max · 96 GB | Q8_0 | Runs great | 39 GB | 8 |
| M2 Ultra · 64 GB | Q8_0 | Runs great | 30 GB | 15 |
| M2 Ultra · 128 GB | Q8_0 | Runs great | 39 GB | 15 |
| M2 Ultra · 192 GB | Q8_0 | Runs great | 39 GB | 15 |
| M1 · 8 GB | Q3_K_M | Too big | 24 GB | |
| M1 · 16 GB | Q3_K_M | Too big | 24 GB | |
| M1 Pro · 16 GB | Q3_K_M | Too big | 24 GB | |
| M1 Pro · 32 GB | Q3_K_M | Runs great | 15 GB | 6.6 |
| M1 Max · 32 GB | Q3_K_M | Runs great | 15 GB | 11 |
| M1 Max · 64 GB | Q8_0 | Runs great | 30 GB | 7.5 |
| M1 Ultra · 64 GB | Q8_0 | Runs great | 30 GB | 13 |
| M1 Ultra · 128 GB | Q8_0 | Runs great | 39 GB | 13 |
Writes is words a second, estimated from the Mac's memory speed and the model's size; how, and how wrong.
Packaged by
2 repositories on Hugging Face carry this model for llama.cpp. Outmake reads them all as one model.
Information
- Maker
- LessThanThreeAI
- Released
- August 2026
- Parameters
- 27B
- Longest chat
- 256K tokens
- Reads pictures
- Yes
- Licence
- apache-2.0
- Downloads this month
- 86,190
- Likes
- 232
- Sizes
- 6, 13 to 54 GB
- Kind
- Maker's release
Badge for the model card
Shows on Qwen3.8 27B Humanlike's Hugging Face card which Macs run it well, linked to this page. It updates every morning.
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.