Outmake Models
Models

Mistral Small 24B Base 2501

Mistral AI · February 2025

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

KnowledgeMMLU-Pro
54.4%

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.

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.

SizeDownloadMemory at 8KGet
IQ2_XXS6.5 GB7.4 GBestimatedOpen
IQ2_XS7.2 GB8.1 GBestimatedOpen
IQ2_S7.5 GB8.4 GBestimatedOpen
IQ2_M8.1 GB9.0 GBestimatedOpen
Q2_K8.9 GB9.8 GBestimatedOpen
Q2_K_L9.5 GB10 GBestimatedOpen
IQ3_XS9.9 GB11 GBestimatedOpen
Q3_K_S10 GB11 GBestimatedOpen
IQ3_M11 GB12 GBestimatedOpen
Q3_K_M11 GB12 GBestimatedOpen
Q3_K_L12 GB13 GBestimatedOpen
IQ4_XS13 GB14 GBestimatedOpen
Q3_K_XL13 GB14 GBestimatedOpen
IQ4_NL13 GB14 GBestimatedOpen
Q4_013 GB14 GBestimatedOpen
Q4_K_S14 GB14 GBestimatedOpen
Q4_K_M14 GB15 GBestimatedOpen
Q4_K_L15 GB16 GBestimatedOpen
Q4_115 GB16 GBestimatedOpen
Q5_K_S16 GB17 GBestimatedOpen
Q5_K_M17 GB18 GBestimatedOpen
Q5_K_L17 GB18 GBestimatedOpen
Q6_K19 GB20 GBestimatedOpen
Q6_K_L20 GB21 GBestimatedOpen
Q8_025 GB26 GBestimatedOpen
F3294 GB95 GBestimatedOpen

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, LinuxOpen
  • JanMac, Windows, LinuxOpen
  • MstyMac, Windows, LinuxOpen
  • OllamaMac, Windows, Linuxollama run hf.co/bartowski/mistralai_Mistral-Small-24B-Base-2501-GGUF:Q2_K_L
  • llama.cppMac, Windows, Linuxllama-server -hf bartowski/mistralai_Mistral-Small-24B-Base-2501-GGUF:Q2_K_L
  • Docker Model RunnerMac, Windows, Linuxdocker model run hf.co/bartowski/mistralai_Mistral-Small-24B-Base-2501-GGUF:Q2_K_L
On a PC Graphics Card
Video memoryLargest size that fitsDownloadMemory at 8K
6 GBNone worth runningneeds 11 GB
8 GBNone worth runningneeds 11 GB
10 GBNone worth runningneeds 11 GB
11 GBIQ3_XS9.9 GB11 GB
12 GBIQ3_M11 GB12 GB
16 GBQ4_115 GB16 GB
20 GBQ5_K_L17 GB18 GB
24 GBQ6_K_L20 GB21 GB
32 GBQ8_025 GB26 GB
48 GBQ8_025 GB26 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
MacSizeFitMemoryWrites
M6 · 16 GBQ2_K_LRuns well10 GB6.5
M6 · 24 GBQ4_1Runs well16 GB5.4
M6 · 32 GBQ4_K_MRuns great15 GB4.9
M5 · 16 GBQ2_K_LRuns well10 GB5.9
M5 · 24 GBQ4_1Runs well16 GB4.9
M5 · 32 GBQ4_K_MRuns great15 GB4.4
M5 Pro · 24 GBQ4_1Runs well16 GB9.7
M5 Pro · 48 GBQ6_K_LRuns great23 GB7.3
M5 Pro · 64 GBQ8_0Runs great28 GB6.8
M5 Max · 36 GBQ5_K_SRuns great17 GB12
M5 Max · 48 GBQ6_K_LRuns great23 GB14
M5 Max · 64 GBQ8_0Runs great28 GB13
M5 Max · 128 GBQ8_0Runs great28 GB13
M5 Ultra · 96 GBQ8_0Runs great28 GB26
M5 Ultra · 256 GBQ8_0Runs great28 GB26
M5 Ultra · 512 GBQ8_0Runs great28 GB26
M4 · 16 GBQ2_K_LRuns well10 GB4.6
M4 · 24 GBQ4_1Runs well16 GB3.9
M4 · 32 GBQ4_K_MRuns great15 GB3.5
M4 Pro · 24 GBQ4_1Runs well16 GB8.5
M4 Pro · 48 GBQ6_K_LRuns great23 GB6.1
M4 Pro · 64 GBQ8_0Runs great28 GB5.8
M4 Max · 36 GBQ5_K_SRuns great17 GB10
M4 Max · 48 GBQ6_K_LRuns great23 GB12
M4 Max · 64 GBQ8_0Runs great28 GB11
M4 Max · 96 GBQ8_0Runs great28 GB8.5
M4 Max · 128 GBQ8_0Runs great28 GB11
M3 · 8 GBIQ2_XXSToo big9.8 GB
M3 · 16 GBQ2_K_LRuns well10 GB3.9
M3 · 24 GBQ4_1Runs well16 GB3.3
M3 Pro · 18 GBIQ3_MRuns well12 GB5.4
M3 Pro · 36 GBQ5_K_SRuns great17 GB4
M3 Max · 36 GBQ5_K_SRuns great17 GB7.7
M3 Max · 48 GBQ6_K_LRuns great23 GB8.9
M3 Max · 64 GBQ8_0Runs great28 GB8.4
M3 Max · 96 GBQ8_0Runs great28 GB6.4
M3 Max · 128 GBQ8_0Runs great28 GB8.4
M3 Ultra · 96 GBQ8_0Runs great28 GB16
M3 Ultra · 256 GBQ8_0Runs great28 GB16
M3 Ultra · 512 GBQ8_0Runs great28 GB16
M2 · 8 GBIQ2_XXSToo big9.8 GB
M2 · 16 GBQ2_K_LRuns well10 GB3.9
M2 · 24 GBQ4_1Runs well16 GB3.3
M2 Pro · 16 GBQ2_K_LRuns well10 GB7.5
M2 Pro · 32 GBQ4_K_MRuns great15 GB5.8
M2 Max · 32 GBQ4_K_MRuns great15 GB11
M2 Max · 64 GBQ8_0Runs great28 GB8.4
M2 Max · 96 GBQ8_0Runs great28 GB8.4
M2 Ultra · 64 GBQ8_0Runs great28 GB16
M2 Ultra · 128 GBQ8_0Runs great28 GB16
M2 Ultra · 192 GBQ8_0Runs great28 GB16
M1 · 8 GBIQ2_XXSToo big9.8 GB
M1 · 16 GBQ2_K_LRuns well10 GB2.6
M1 Pro · 16 GBQ2_K_LRuns well10 GB7.2
M1 Pro · 32 GBQ4_K_MRuns great15 GB5.6
M1 Max · 32 GBQ4_K_MRuns great15 GB10
M1 Max · 64 GBQ8_0Runs great28 GB8.1
M1 Ultra · 64 GBQ8_0Runs great28 GB15
M1 Ultra · 128 GBQ8_0Runs great28 GB15

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.

Runs on Mac badge

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.

Your Computer

Every model is judged for this Mac. Both are under About This Mac, in the Apple menu.

Every Mac · Every graphics card

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