A 32B chat model from Cohere.
- Downloads
- 2.6K
- Likes
- 51
- Parameters
- 32B
- Context
- 128K
- Licence
- cc-by-nc-4.0
Tight fit on M4 · 16 GB
The IQ2_S size from bartowski is the one to get: a 11 GB download that uses 12 GB of memory, and writes about 4.3 words a second.
Ratings
GPQA Diamond: questions PhD scientists write for each other. 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.
C4ai Command R 08 2024 runs well from a Mac with an M3 Pro and 18 GB of memory. 48 of 59 Mac configurations run it well.
Compare with
The nearest models in size.
- Aya Expanse 32BCohere · 1.7K downloads · Arena 1267Tight fit · 11 GB · 4.3 words/s
- Olmo 3.1 32BAi2 · 8.6K downloads · Arena 1329Runs well · 8.9 GB · 5.9 words/s
- Olmo 3.1 32B ThinkAi2 · 4.6K downloads · Arena 1286Runs well · 9.7 GB · 5.5 words/s
- Olmo 3 32B ThinkAi2 · 2.6K downloads · Arena 1306Runs well · 8.9 GB · 5.9 words/s
Sizes
From bartowski/c4ai-command-r-08-2024-GGUF on Hugging Face. A smaller size is a smaller download and a little less accurate.
| Size | Download | Memory at 8K | Get |
|---|---|---|---|
| IQ2_XS | 10 GB | 11 GBestimated | Open |
| IQ2_S | 11 GB | 12 GBestimated | Open |
| IQ2_M | 12 GB | 12 GBestimated | Open |
| Q2_K | 13 GB | 14 GBestimated | Open |
| Q2_K_L | 13 GB | 14 GBestimated | Open |
| IQ3_XS | 14 GB | 15 GBestimated | Open |
| Q3_K_S | 15 GB | 16 GBestimated | Open |
| IQ3_M | 15 GB | 16 GBestimated | Open |
| Q3_K_M | 16 GB | 17 GBestimated | Open |
| Q3_K_L | 18 GB | 18 GBestimated | Open |
| IQ4_XS | 18 GB | 19 GBestimated | Open |
| Q3_K_XL | 18 GB | 19 GBestimated | Open |
| Q4_0_4_4 | 19 GB | 20 GBestimated | Open |
| Q4_0_4_8 | 19 GB | 20 GBestimated | Open |
| Q4_0_8_8 | 19 GB | 20 GBestimated | Open |
| Q4_0 | 19 GB | 20 GBestimated | Open |
| Q4_K_S | 19 GB | 20 GBestimated | Open |
| Q4_K_M | 20 GB | 21 GBestimated | Open |
| Q4_K_L | 20 GB | 21 GBestimated | Open |
| Q5_K_S | 22 GB | 23 GBestimated | Open |
| Q5_K_M | 23 GB | 24 GBestimated | Open |
| Q5_K_L | 24 GB | 24 GBestimated | Open |
| Q6_K | 27 GB | 27 GBestimated | Open |
| Q6_K_L | 27 GB | 28 GBestimated | Open |
| Q8_0 | 34 GB | 35 GBestimated | Open |
| F16 | 65 GB | 65 GBestimated | Open |
Run It Anywhere
C4ai Command R 08 2024 is an open model, so any app that runs GGUF files can run it. These take the IQ2_S size from bartowski straight from Hugging Face.
- LM StudioMac, Windows, Linux
Open - JanMac, Windows, Linux
Open - MstyMac, Windows, Linux
Open - OllamaMac, Windows, Linux
ollama run hf.co/bartowski/c4ai-command-r-08-2024-GGUF:IQ2_S - llama.cppMac, Windows, Linux
llama-server -hf bartowski/c4ai-command-r-08-2024-GGUF:IQ2_S - Docker Model RunnerMac, Windows, Linux
docker model run hf.co/bartowski/c4ai-command-r-08-2024-GGUF:IQ2_S
On a PC Graphics Card
| Video memory | Largest size that fits | Download | Memory at 8K |
|---|---|---|---|
| 6 GB | None worth running | needs 15 GB | |
| 8 GB | None worth running | needs 15 GB | |
| 10 GB | None worth running | needs 15 GB | |
| 11 GB | None worth running | needs 15 GB | |
| 12 GB | None worth running | needs 15 GB | |
| 16 GB | Q3_K_S | 15 GB | 16 GB |
| 20 GB | Q4_K_S | 19 GB | 20 GB |
| 24 GB | Q5_K_S | 22 GB | 23 GB |
| 32 GB | Q6_K_L | 27 GB | 28 GB |
| 48 GB | Q8_0 | 34 GB | 35 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 | IQ2_S | Tight fit | 12 GB | 6 |
| M6 · 24 GB | Q3_K_S | Runs well | 16 GB | 4.8 |
| M6 · 32 GB | Q4_K_L | Runs well | 21 GB | 3.8 |
| M5 · 16 GB | IQ2_S | Tight fit | 12 GB | 5.4 |
| M5 · 24 GB | Q3_K_S | Runs well | 16 GB | 4.4 |
| M5 · 32 GB | Q4_K_L | Runs well | 21 GB | 3.4 |
| M5 Pro · 24 GB | Q3_K_S | Runs well | 16 GB | 8.6 |
| M5 Pro · 48 GB | Q4_K_L | Runs great | 22 GB | 6.8 |
| M5 Pro · 64 GB | Q6_K_L | Runs great | 30 GB | 5.6 |
| M5 Max · 36 GB | Q3_K_M | Runs great | 17 GB | 12 |
| M5 Max · 48 GB | Q4_K_L | Runs great | 22 GB | 13 |
| M5 Max · 64 GB | Q6_K_L | Runs great | 30 GB | 11 |
| M5 Max · 128 GB | Q8_0 | Runs great | 47 GB | 10 |
| M5 Ultra · 96 GB | Q8_0 | Runs great | 41 GB | 20 |
| M5 Ultra · 256 GB | Q8_0 | Runs great | 47 GB | 20 |
| M5 Ultra · 512 GB | Q8_0 | Runs great | 47 GB | 20 |
| M4 · 16 GB | IQ2_S | Tight fit | 12 GB | 4.3 |
| M4 · 24 GB | Q3_K_S | Runs well | 16 GB | 3.5 |
| M4 · 32 GB | Q4_K_L | Runs well | 21 GB | 2.7 |
| M4 Pro · 24 GB | Q3_K_S | Runs well | 16 GB | 7.5 |
| M4 Pro · 48 GB | Q4_K_L | Runs great | 22 GB | 6 |
| M4 Pro · 64 GB | Q6_K_L | Runs great | 30 GB | 4.8 |
| M4 Max · 36 GB | Q3_K_M | Runs great | 17 GB | 10 |
| M4 Max · 48 GB | Q4_K_L | Runs great | 22 GB | 11 |
| M4 Max · 64 GB | Q6_K_L | Runs great | 30 GB | 9.2 |
| M4 Max · 96 GB | Q8_0 | Runs great | 41 GB | 6.6 |
| M4 Max · 128 GB | Q8_0 | Runs great | 47 GB | 8.7 |
| M3 · 8 GB | IQ2_XS | Too big | 23 GB | |
| M3 · 16 GB | IQ2_S | Tight fit | 12 GB | 3.6 |
| M3 · 24 GB | Q3_K_S | Runs well | 16 GB | 2.9 |
| M3 Pro · 18 GB | IQ2_S | Runs well | 12 GB | 5.3 |
| M3 Pro · 36 GB | Q3_K_M | Runs great | 17 GB | 4 |
| M3 Max · 36 GB | Q3_K_M | Runs great | 17 GB | 7.8 |
| M3 Max · 48 GB | Q4_K_L | Runs great | 22 GB | 8.6 |
| M3 Max · 64 GB | Q6_K_L | Runs great | 30 GB | 7 |
| M3 Max · 96 GB | Q8_0 | Runs great | 41 GB | 4.9 |
| M3 Max · 128 GB | Q8_0 | Runs great | 47 GB | 6.5 |
| M3 Ultra · 96 GB | Q8_0 | Runs great | 41 GB | 12 |
| M3 Ultra · 256 GB | Q8_0 | Runs great | 47 GB | 12 |
| M3 Ultra · 512 GB | Q8_0 | Runs great | 47 GB | 12 |
| M2 · 8 GB | IQ2_XS | Too big | 23 GB | |
| M2 · 16 GB | IQ2_S | Tight fit | 12 GB | 3.6 |
| M2 · 24 GB | Q3_K_S | Runs well | 16 GB | 2.9 |
| M2 Pro · 16 GB | IQ2_S | Tight fit | 12 GB | 7 |
| M2 Pro · 32 GB | Q4_K_L | Runs well | 21 GB | 4.5 |
| M2 Max · 32 GB | Q4_K_L | Runs well | 21 GB | 8.6 |
| M2 Max · 64 GB | Q6_K_L | Runs great | 30 GB | 7 |
| M2 Max · 96 GB | Q8_0 | Runs great | 41 GB | 6.5 |
| M2 Ultra · 64 GB | Q6_K_L | Runs great | 30 GB | 13 |
| M2 Ultra · 128 GB | Q8_0 | Runs great | 47 GB | 12 |
| M2 Ultra · 192 GB | Q8_0 | Runs great | 47 GB | 12 |
| M1 · 8 GB | IQ2_XS | Too big | 23 GB | |
| M1 · 16 GB | IQ2_S | Tight fit | 12 GB | 2.4 |
| M1 Pro · 16 GB | IQ2_S | Tight fit | 12 GB | 6.7 |
| M1 Pro · 32 GB | Q4_K_L | Runs well | 21 GB | 4.4 |
| M1 Max · 32 GB | Q4_K_L | Runs well | 21 GB | 8.3 |
| M1 Max · 64 GB | Q6_K_L | Runs great | 30 GB | 6.7 |
| M1 Ultra · 64 GB | Q6_K_L | Runs great | 30 GB | 12 |
| M1 Ultra · 128 GB | Q8_0 | Runs great | 47 GB | 12 |
Writes is words a second, estimated from the Mac's memory speed and the model's size; how, and how wrong.
Information
- Maker
- Cohere
- Released
- August 2024
- Parameters
- 32B
- Longest chat
- 128K tokens
- Reads pictures
- No
- Licence
- cc-by-nc-4.0
- Downloads this month
- 2,604
- Likes
- 51
- Sizes
- 26, 10 to 65 GB
- Kind
- Maker's release
Badge for the model card
Shows on C4ai Command R 08 2024'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.
