A 125B chat model from Mistral AI that reads pictures as well as text.
- Downloads
- 19K
- Likes
- 101
- Parameters
- 125B
- Context
- 256K
- Licence
- other
Too big for this Mac
Its smallest size needs 88 GB of memory, more than M4 · 16 GB can give it.
Ratings
SWE-bench Verified: real GitHub issues fixed so the project's tests pass. Scores are the ones filed on the model's Hugging Face page or the board's own table, read 2026-11-05; some come from the maker.
Mistral Medium 3.5 128B runs well from a Mac with an M1 Max and 64 GB of memory. 24 of 59 Mac configurations run it well.
Compare with
The nearest models in size.
Sizes
From unsloth/Mistral-Medium-3.5-128B-GGUF on Hugging Face. A smaller size is a smaller download and a little less accurate.
| Size | Download | Memory at 8K | Get |
|---|---|---|---|
| UD-IQ2_XXS | 35 GB | 37 GBestimated | Open |
| UD-IQ2_M | 44 GB | 46 GBestimated | Open |
| Q2_K | 47 GB | 48 GBestimated | Open |
| Q2_K_L | 47 GB | 49 GBestimated | Open |
| UD-Q2_K_XL | 48 GB | 50 GBestimated | Open |
| UD-IQ3_XXS | 49 GB | 51 GBestimated | Open |
| Q3_K_S | 54 GB | 56 GBestimated | Open |
| Q3_K_M | 61 GB | 62 GBestimated | Open |
| UD-Q3_K_XL | 62 GB | 64 GBestimated | Open |
| IQ4_XS | 67 GB | 69 GBestimated | Open |
| IQ4_NL | 71 GB | 73 GBestimated | Open |
| Q4_0 | 71 GB | 73 GBestimated | Open |
| Q4_K_S | 71 GB | 73 GBestimated | Open |
| Q4_K_M | 75 GB | 77 GBestimated | Open |
| UD-Q4_K_XL | 76 GB | 77 GBestimated | Open |
| Q4_1 | 78 GB | 80 GBestimated | Open |
| Q5_K_S | 86 GB | 88 GBestimated | Open |
| Q5_K_M | 88 GB | 90 GBestimated | Open |
| UD-Q5_K_XL | 88 GB | 90 GBestimated | Open |
| Q6_K | 103 GB | 104 GBestimated | Open |
| UD-Q6_K_XL | 109 GB | 111 GBestimated | Open |
| Q8_0 | 133 GB | 135 GBestimated | Open |
| UD-Q8_K_XL | 145 GB | 147 GBestimated | Open |
| BF16 | 250 GB | 252 GBestimated | Open |
Run It Anywhere
Mistral Medium 3.5 128B is an open model, so any app that runs GGUF files can run it. These take the UD-IQ2_XXS size from unsloth straight from Hugging Face.
- LM StudioMac, Windows, Linux
Open - JanMac, Windows, Linux
Open - MstyMac, Windows, Linux
Open - OllamaMac, Windows, Linux
ollama run hf.co/unsloth/Mistral-Medium-3.5-128B-GGUF:UD-IQ2_XXS - llama.cppMac, Windows, Linux
llama-server -hf unsloth/Mistral-Medium-3.5-128B-GGUF:UD-IQ2_XXS - Docker Model RunnerMac, Windows, Linux
docker model run hf.co/unsloth/Mistral-Medium-3.5-128B-GGUF:UD-IQ2_XXS
On a PC Graphics Card
| Video memory | Largest size that fits | Download | Memory at 8K |
|---|---|---|---|
| 6 GB | None worth running | needs 46 GB | |
| 8 GB | None worth running | needs 46 GB | |
| 10 GB | None worth running | needs 46 GB | |
| 11 GB | None worth running | needs 46 GB | |
| 12 GB | None worth running | needs 46 GB | |
| 16 GB | None worth running | needs 46 GB | |
| 20 GB | None worth running | needs 46 GB | |
| 24 GB | None worth running | needs 46 GB | |
| 32 GB | None worth running | needs 46 GB | |
| 48 GB | UD-IQ2_M | 44 GB | 46 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 | UD-IQ2_XXS | Too big | 88 GB | |
| M6 · 24 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M6 · 32 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M5 · 16 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M5 · 24 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M5 · 32 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M5 Pro · 24 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M5 Pro · 48 GB | IQ1_S | Tight fit | 37 GB | 3.7 |
| M5 Pro · 64 GB | IQ2_XXS | Runs well | 42 GB | 3.3 |
| M5 Max · 36 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M5 Max · 48 GB | IQ1_S | Tight fit | 37 GB | 7.3 |
| M5 Max · 64 GB | IQ2_XXS | Runs well | 42 GB | 6.6 |
| M5 Max · 128 GB | UD-Q3_K_XL | Runs great | 66 GB | 4.6 |
| M5 Ultra · 96 GB | UD-Q3_K_XL | Runs well | 66 GB | 9.1 |
| M5 Ultra · 256 GB | Q8_0 | Runs great | 159 GB | 5.7 |
| M5 Ultra · 512 GB | Q8_0 | Runs great | 186 GB | 5.7 |
| M4 · 16 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M4 · 24 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M4 · 32 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M4 Pro · 24 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M4 Pro · 48 GB | IQ1_S | Tight fit | 37 GB | 3.2 |
| M4 Pro · 64 GB | IQ2_XXS | Runs well | 42 GB | 2.9 |
| M4 Max · 36 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M4 Max · 48 GB | IQ1_S | Tight fit | 37 GB | 6.1 |
| M4 Max · 64 GB | IQ2_XXS | Runs well | 42 GB | 5.6 |
| M4 Max · 96 GB | UD-Q3_K_XL | Runs well | 66 GB | 3.1 |
| M4 Max · 128 GB | UD-Q3_K_XL | Runs great | 66 GB | 4 |
| M3 · 8 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M3 · 16 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M3 · 24 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M3 Pro · 18 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M3 Pro · 36 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M3 Max · 36 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M3 Max · 48 GB | IQ1_S | Tight fit | 37 GB | 4.7 |
| M3 Max · 64 GB | IQ2_XXS | Runs well | 42 GB | 4.3 |
| M3 Max · 96 GB | UD-Q3_K_XL | Runs well | 66 GB | 2.3 |
| M3 Max · 128 GB | UD-Q3_K_XL | Runs great | 66 GB | 3 |
| M3 Ultra · 96 GB | UD-Q3_K_XL | Runs well | 66 GB | 5.8 |
| M3 Ultra · 256 GB | Q8_0 | Runs great | 159 GB | 3.6 |
| M3 Ultra · 512 GB | Q8_0 | Runs great | 186 GB | 3.6 |
| M2 · 8 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M2 · 16 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M2 · 24 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M2 Pro · 16 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M2 Pro · 32 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M2 Max · 32 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M2 Max · 64 GB | IQ2_XXS | Runs well | 42 GB | 4.2 |
| M2 Max · 96 GB | UD-Q3_K_XL | Runs well | 66 GB | 3 |
| M2 Ultra · 64 GB | IQ2_XXS | Runs well | 42 GB | 7.9 |
| M2 Ultra · 128 GB | UD-Q3_K_XL | Runs great | 66 GB | 5.8 |
| M2 Ultra · 192 GB | UD-Q6_K_XL | Runs great | 122 GB | 3.7 |
| M1 · 8 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M1 · 16 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M1 Pro · 16 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M1 Pro · 32 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M1 Max · 32 GB | UD-IQ2_XXS | Too big | 88 GB | |
| M1 Max · 64 GB | IQ2_XXS | Runs well | 42 GB | 4 |
| M1 Ultra · 64 GB | IQ2_XXS | Runs well | 42 GB | 7.2 |
| M1 Ultra · 128 GB | UD-Q3_K_XL | Runs great | 66 GB | 5.4 |
Writes is words a second, estimated from the Mac's memory speed and the model's size; how, and how wrong.
Packaged by
3 repositories on Hugging Face carry this model for llama.cpp. Outmake reads them all as one model.
Information
- Maker
- Mistral AI
- Released
- March 2026
- Parameters
- 125B
- Longest chat
- 256K tokens
- Reads pictures
- Yes
- Licence
- other
- Downloads this month
- 18,507
- Likes
- 101
- Sizes
- 24, 35 to 250 GB
- Kind
- Maker's release
Badge for the model card
Shows on Mistral Medium 3.5 128B'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.
