A 24B chat model from Mistral AI.
- Downloads
- 2.4K
- Likes
- 5
- Parameters
- 24B
- Context
- 32K
- Licence
- apache-2.0
Runs well on M4 · 16 GB
The Q2_K_L size from bartowski is the one to get: a 9.5 GB download that uses 10 GB of memory, and writes about 4.6 words a second.
Ratings
MMLU-Pro: graduate-level questions in 14 subjects. 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 Small 24B Base 2501 runs well from a Mac with an M1 and 16 GB of memory. 56 of 59 Mac configurations run it well.
Compare with
The nearest models in size.
- Mistral Small 3.2 24B 2506Mistral AI · 193K downloadsRuns well · 9.4 GB · 4.6 words/s
- Cydonia 24B V4.3TheDrummer · 163K downloadsRuns well · 9.5 GB · 4.6 words/s
- Devstral Small 2 24BMistral AI · 162K downloadsRuns well · 9.4 GB · 4.7 words/s
- Mistral Small 3.1 24B 2503mrfakename · 48K downloadsRuns well · 9.4 GB · 4.6 words/s
Sizes
From bartowski/mistralai_Mistral-Small-24B-Base-2501-GGUF on Hugging Face. A smaller size is a smaller download and a little less accurate.
| Size | Download | Memory at 8K | Get |
|---|---|---|---|
| IQ2_XXS | 6.5 GB | 7.4 GBestimated | Open |
| IQ2_XS | 7.2 GB | 8.1 GBestimated | Open |
| IQ2_S | 7.5 GB | 8.4 GBestimated | Open |
| IQ2_M | 8.1 GB | 9.0 GBestimated | Open |
| Q2_K | 8.9 GB | 9.8 GBestimated | Open |
| Q2_K_L | 9.5 GB | 10 GBestimated | Open |
| IQ3_XS | 9.9 GB | 11 GBestimated | Open |
| Q3_K_S | 10 GB | 11 GBestimated | Open |
| IQ3_M | 11 GB | 12 GBestimated | Open |
| Q3_K_M | 11 GB | 12 GBestimated | Open |
| Q3_K_L | 12 GB | 13 GBestimated | Open |
| IQ4_XS | 13 GB | 14 GBestimated | Open |
| Q3_K_XL | 13 GB | 14 GBestimated | Open |
| IQ4_NL | 13 GB | 14 GBestimated | Open |
| Q4_0 | 13 GB | 14 GBestimated | Open |
| Q4_K_S | 14 GB | 14 GBestimated | Open |
| Q4_K_M | 14 GB | 15 GBestimated | Open |
| Q4_K_L | 15 GB | 16 GBestimated | Open |
| Q4_1 | 15 GB | 16 GBestimated | Open |
| Q5_K_S | 16 GB | 17 GBestimated | Open |
| Q5_K_M | 17 GB | 18 GBestimated | Open |
| Q5_K_L | 17 GB | 18 GBestimated | Open |
| Q6_K | 19 GB | 20 GBestimated | Open |
| Q6_K_L | 20 GB | 21 GBestimated | Open |
| Q8_0 | 25 GB | 26 GBestimated | Open |
| F32 | 94 GB | 95 GBestimated | Open |
Run It Anywhere
Mistral Small 24B Base 2501 is an open model, so any app that runs GGUF files can run it. These take the Q2_K_L 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/mistralai_Mistral-Small-24B-Base-2501-GGUF:Q2_K_L - llama.cppMac, Windows, Linux
llama-server -hf bartowski/mistralai_Mistral-Small-24B-Base-2501-GGUF:Q2_K_L - Docker Model RunnerMac, Windows, Linux
docker model run hf.co/bartowski/mistralai_Mistral-Small-24B-Base-2501-GGUF:Q2_K_L
On a PC Graphics Card
| Video memory | Largest size that fits | Download | Memory at 8K |
|---|---|---|---|
| 6 GB | None worth running | needs 11 GB | |
| 8 GB | None worth running | needs 11 GB | |
| 10 GB | None worth running | needs 11 GB | |
| 11 GB | IQ3_XS | 9.9 GB | 11 GB |
| 12 GB | IQ3_M | 11 GB | 12 GB |
| 16 GB | Q4_1 | 15 GB | 16 GB |
| 20 GB | Q5_K_L | 17 GB | 18 GB |
| 24 GB | Q6_K_L | 20 GB | 21 GB |
| 32 GB | Q8_0 | 25 GB | 26 GB |
| 48 GB | Q8_0 | 25 GB | 26 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 | Q2_K_L | Runs well | 10 GB | 6.5 |
| M6 · 24 GB | Q4_1 | Runs well | 16 GB | 5.4 |
| M6 · 32 GB | Q4_K_M | Runs great | 15 GB | 4.9 |
| M5 · 16 GB | Q2_K_L | Runs well | 10 GB | 5.9 |
| M5 · 24 GB | Q4_1 | Runs well | 16 GB | 4.9 |
| M5 · 32 GB | Q4_K_M | Runs great | 15 GB | 4.4 |
| M5 Pro · 24 GB | Q4_1 | Runs well | 16 GB | 9.7 |
| M5 Pro · 48 GB | Q6_K_L | Runs great | 23 GB | 7.3 |
| M5 Pro · 64 GB | Q8_0 | Runs great | 28 GB | 6.8 |
| M5 Max · 36 GB | Q5_K_S | Runs great | 17 GB | 12 |
| M5 Max · 48 GB | Q6_K_L | Runs great | 23 GB | 14 |
| M5 Max · 64 GB | Q8_0 | Runs great | 28 GB | 13 |
| M5 Max · 128 GB | Q8_0 | Runs great | 28 GB | 13 |
| M5 Ultra · 96 GB | Q8_0 | Runs great | 28 GB | 26 |
| M5 Ultra · 256 GB | Q8_0 | Runs great | 28 GB | 26 |
| M5 Ultra · 512 GB | Q8_0 | Runs great | 28 GB | 26 |
| M4 · 16 GB | Q2_K_L | Runs well | 10 GB | 4.6 |
| M4 · 24 GB | Q4_1 | Runs well | 16 GB | 3.9 |
| M4 · 32 GB | Q4_K_M | Runs great | 15 GB | 3.5 |
| M4 Pro · 24 GB | Q4_1 | Runs well | 16 GB | 8.5 |
| M4 Pro · 48 GB | Q6_K_L | Runs great | 23 GB | 6.1 |
| M4 Pro · 64 GB | Q8_0 | Runs great | 28 GB | 5.8 |
| M4 Max · 36 GB | Q5_K_S | Runs great | 17 GB | 10 |
| M4 Max · 48 GB | Q6_K_L | Runs great | 23 GB | 12 |
| M4 Max · 64 GB | Q8_0 | Runs great | 28 GB | 11 |
| M4 Max · 96 GB | Q8_0 | Runs great | 28 GB | 8.5 |
| M4 Max · 128 GB | Q8_0 | Runs great | 28 GB | 11 |
| M3 · 8 GB | IQ2_XXS | Too big | 9.8 GB | |
| M3 · 16 GB | Q2_K_L | Runs well | 10 GB | 3.9 |
| M3 · 24 GB | Q4_1 | Runs well | 16 GB | 3.3 |
| M3 Pro · 18 GB | IQ3_M | Runs well | 12 GB | 5.4 |
| M3 Pro · 36 GB | Q5_K_S | Runs great | 17 GB | 4 |
| M3 Max · 36 GB | Q5_K_S | Runs great | 17 GB | 7.7 |
| M3 Max · 48 GB | Q6_K_L | Runs great | 23 GB | 8.9 |
| M3 Max · 64 GB | Q8_0 | Runs great | 28 GB | 8.4 |
| M3 Max · 96 GB | Q8_0 | Runs great | 28 GB | 6.4 |
| M3 Max · 128 GB | Q8_0 | Runs great | 28 GB | 8.4 |
| M3 Ultra · 96 GB | Q8_0 | Runs great | 28 GB | 16 |
| M3 Ultra · 256 GB | Q8_0 | Runs great | 28 GB | 16 |
| M3 Ultra · 512 GB | Q8_0 | Runs great | 28 GB | 16 |
| M2 · 8 GB | IQ2_XXS | Too big | 9.8 GB | |
| M2 · 16 GB | Q2_K_L | Runs well | 10 GB | 3.9 |
| M2 · 24 GB | Q4_1 | Runs well | 16 GB | 3.3 |
| M2 Pro · 16 GB | Q2_K_L | Runs well | 10 GB | 7.5 |
| M2 Pro · 32 GB | Q4_K_M | Runs great | 15 GB | 5.8 |
| M2 Max · 32 GB | Q4_K_M | Runs great | 15 GB | 11 |
| M2 Max · 64 GB | Q8_0 | Runs great | 28 GB | 8.4 |
| M2 Max · 96 GB | Q8_0 | Runs great | 28 GB | 8.4 |
| M2 Ultra · 64 GB | Q8_0 | Runs great | 28 GB | 16 |
| M2 Ultra · 128 GB | Q8_0 | Runs great | 28 GB | 16 |
| M2 Ultra · 192 GB | Q8_0 | Runs great | 28 GB | 16 |
| M1 · 8 GB | IQ2_XXS | Too big | 9.8 GB | |
| M1 · 16 GB | Q2_K_L | Runs well | 10 GB | 2.6 |
| M1 Pro · 16 GB | Q2_K_L | Runs well | 10 GB | 7.2 |
| M1 Pro · 32 GB | Q4_K_M | Runs great | 15 GB | 5.6 |
| M1 Max · 32 GB | Q4_K_M | Runs great | 15 GB | 10 |
| M1 Max · 64 GB | Q8_0 | Runs great | 28 GB | 8.1 |
| M1 Ultra · 64 GB | Q8_0 | Runs great | 28 GB | 15 |
| M1 Ultra · 128 GB | Q8_0 | Runs great | 28 GB | 15 |
Writes is words a second, estimated from the Mac's memory speed and the model's size; how, and how wrong.
Information
- Maker
- Mistral AI
- Released
- February 2025
- Parameters
- 24B
- Longest chat
- 32K tokens
- Reads pictures
- No
- Licence
- apache-2.0
- Downloads this month
- 2,422
- Likes
- 5
- Sizes
- 26, 6.5 to 94 GB
- Kind
- Maker's release
Badge for the model card
Shows on Mistral Small 24B Base 2501'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.
