A community version of another maker's model.
- Rating
- 4.0
- Downloads
- 41K
- Likes
- 1.1K
- Parameters
- 671B, 38B active
- Context
- 160K
- Licence
- mit
Too big for this Mac
Its smallest size needs 145 GB of memory, more than M4 · 16 GB can give it.
Ratings
4.0 out of 5, across people's blind votes on its answers.
LM Arena ratings of October 28, 2026 (CC BY 4.0): people vote between two answers without knowing which model wrote which. The bar ends at 1488, the best any open model has. The Arena tests the full model; a small size on a Mac answers a little worse.
DeepSeek R1 runs well from a Mac with an M2 Ultra and 192 GB of memory. 5 of 59 Mac configurations run it well. It is a re-tune or merge made by someone other than the original model's maker, so its ratings, where it has any, are its own.
Compare with
The nearest models in size.
Sizes
From unsloth/DeepSeek-R1-GGUF on Hugging Face. A smaller size is a smaller download and a little less accurate.
| Size | Download | Memory at 8K | Get |
|---|---|---|---|
| UD-IQ1_S | 140 GB | 141 GBestimated | Open |
| UD-IQ1_M | 169 GB | 169 GBestimated | Open |
| UD-IQ2_XXS | 196 GB | 197 GBestimated | Open |
| Q2_K_XS | 221 GB | 222 GBestimated | Open |
| UD-Q2_K_XL | 227 GB | 227 GBestimated | Open |
| Q2_K | 244 GB | 244 GBestimated | Open |
| Q2_K_L | 244 GB | 245 GBestimated | Open |
| Q3_K_M | 319 GB | 320 GBestimated | Open |
| Q4_K_M | 404 GB | 405 GBestimated | Open |
| Q5_K_M | 475 GB | 476 GBestimated | Open |
| Q6_K | 551 GB | 551 GBestimated | Open |
| Q8_0 | 713 GB | 714 GBestimated | Open |
| BF16 | 1342 GB | 1343 GBestimated | Open |
Run It Anywhere
DeepSeek R1 is an open model, so any app that runs GGUF files can run it. These take the UD-IQ1_S 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/DeepSeek-R1-GGUF:UD-IQ1_S - llama.cppMac, Windows, Linux
llama-server -hf unsloth/DeepSeek-R1-GGUF:UD-IQ1_S - Docker Model RunnerMac, Windows, Linux
docker model run hf.co/unsloth/DeepSeek-R1-GGUF:UD-IQ1_S
On a PC Graphics Card
| Video memory | Largest size that fits | Download | Memory at 8K |
|---|---|---|---|
| 6 GB | None worth running | needs 227 GB | |
| 8 GB | None worth running | needs 227 GB | |
| 10 GB | None worth running | needs 227 GB | |
| 11 GB | None worth running | needs 227 GB | |
| 12 GB | None worth running | needs 227 GB | |
| 16 GB | None worth running | needs 227 GB | |
| 20 GB | None worth running | needs 227 GB | |
| 24 GB | None worth running | needs 227 GB | |
| 32 GB | None worth running | needs 227 GB | |
| 48 GB | None worth running | needs 227 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-IQ1_S | Too big | 145 GB | |
| M6 · 24 GB | UD-IQ1_S | Too big | 145 GB | |
| M6 · 32 GB | UD-IQ1_S | Too big | 145 GB | |
| M5 · 16 GB | UD-IQ1_S | Too big | 145 GB | |
| M5 · 24 GB | UD-IQ1_S | Too big | 145 GB | |
| M5 · 32 GB | UD-IQ1_S | Too big | 145 GB | |
| M5 Pro · 24 GB | UD-IQ1_S | Too big | 145 GB | |
| M5 Pro · 48 GB | UD-IQ1_S | Too big | 145 GB | |
| M5 Pro · 64 GB | UD-IQ1_S | Too big | 145 GB | |
| M5 Max · 36 GB | UD-IQ1_S | Too big | 145 GB | |
| M5 Max · 48 GB | UD-IQ1_S | Too big | 145 GB | |
| M5 Max · 64 GB | UD-IQ1_S | Too big | 145 GB | |
| M5 Max · 128 GB | UD-IQ1_S | Too big | 145 GB | |
| M5 Ultra · 96 GB | UD-IQ1_S | Too big | 145 GB | |
| M5 Ultra · 256 GB | UD-IQ1_M | Runs great | 174 GB | 35 |
| M5 Ultra · 512 GB | Q4_K_M | Runs well | 410 GB | 18 |
| M4 · 16 GB | UD-IQ1_S | Too big | 145 GB | |
| M4 · 24 GB | UD-IQ1_S | Too big | 145 GB | |
| M4 · 32 GB | UD-IQ1_S | Too big | 145 GB | |
| M4 Pro · 24 GB | UD-IQ1_S | Too big | 145 GB | |
| M4 Pro · 48 GB | UD-IQ1_S | Too big | 145 GB | |
| M4 Pro · 64 GB | UD-IQ1_S | Too big | 145 GB | |
| M4 Max · 36 GB | UD-IQ1_S | Too big | 145 GB | |
| M4 Max · 48 GB | UD-IQ1_S | Too big | 145 GB | |
| M4 Max · 64 GB | UD-IQ1_S | Too big | 145 GB | |
| M4 Max · 96 GB | UD-IQ1_S | Too big | 145 GB | |
| M4 Max · 128 GB | UD-IQ1_S | Too big | 145 GB | |
| M3 · 8 GB | UD-IQ1_S | Too big | 145 GB | |
| M3 · 16 GB | UD-IQ1_S | Too big | 145 GB | |
| M3 · 24 GB | UD-IQ1_S | Too big | 145 GB | |
| M3 Pro · 18 GB | UD-IQ1_S | Too big | 145 GB | |
| M3 Pro · 36 GB | UD-IQ1_S | Too big | 145 GB | |
| M3 Max · 36 GB | UD-IQ1_S | Too big | 145 GB | |
| M3 Max · 48 GB | UD-IQ1_S | Too big | 145 GB | |
| M3 Max · 64 GB | UD-IQ1_S | Too big | 145 GB | |
| M3 Max · 96 GB | UD-IQ1_S | Too big | 145 GB | |
| M3 Max · 128 GB | UD-IQ1_S | Too big | 145 GB | |
| M3 Ultra · 96 GB | UD-IQ1_S | Too big | 145 GB | |
| M3 Ultra · 256 GB | UD-IQ1_M | Runs great | 174 GB | 19 |
| M3 Ultra · 512 GB | Q4_K_M | Runs well | 410 GB | 11 |
| M2 · 8 GB | UD-IQ1_S | Too big | 145 GB | |
| M2 · 16 GB | UD-IQ1_S | Too big | 145 GB | |
| M2 · 24 GB | UD-IQ1_S | Too big | 145 GB | |
| M2 Pro · 16 GB | UD-IQ1_S | Too big | 145 GB | |
| M2 Pro · 32 GB | UD-IQ1_S | Too big | 145 GB | |
| M2 Max · 32 GB | UD-IQ1_S | Too big | 145 GB | |
| M2 Max · 64 GB | UD-IQ1_S | Too big | 145 GB | |
| M2 Max · 96 GB | UD-IQ1_S | Too big | 145 GB | |
| M2 Ultra · 64 GB | UD-IQ1_S | Too big | 145 GB | |
| M2 Ultra · 128 GB | UD-IQ1_S | Too big | 145 GB | |
| M2 Ultra · 192 GB | UD-IQ1_S | Runs well | 145 GB | 21 |
| M1 · 8 GB | UD-IQ1_S | Too big | 145 GB | |
| M1 · 16 GB | UD-IQ1_S | Too big | 145 GB | |
| M1 Pro · 16 GB | UD-IQ1_S | Too big | 145 GB | |
| M1 Pro · 32 GB | UD-IQ1_S | Too big | 145 GB | |
| M1 Max · 32 GB | UD-IQ1_S | Too big | 145 GB | |
| M1 Max · 64 GB | UD-IQ1_S | Too big | 145 GB | |
| M1 Ultra · 64 GB | UD-IQ1_S | Too big | 145 GB | |
| M1 Ultra · 128 GB | UD-IQ1_S | Too big | 145 GB |
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
- DeepSeek
- Released
- January 2025
- Parameters
- 671B, 38B active
- Longest chat
- 160K tokens
- Reads pictures
- No
- Licence
- mit
- Downloads this month
- 41,037
- Likes
- 1,141
- Sizes
- 13, 140 to 1342 GB
- Kind
- Community version
- Source
- deepseek-ai/DeepSeek-R1
Badge for the model card
Shows on DeepSeek R1'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.
