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Can the Apple M2 Ultra (192GB) run Devstral Small 24B?

Apple M2 Ultra (192GB) × Devstral Small 24B8K context
YesRuns fully on the GPU
Memory at FP1649.1 GB of 144 GB
Weights 47.2 GBKV cache 1.3 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~10tokens per second
Max context128Kthe model's full window
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The Apple M2 Ultra (192GB) can run Devstral Small 24B fully in unified memory at FP16 (full quality), using about 49.1 GB of the 144 GB available, at roughly 10 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Devstral Small 24B:

ollama run devstral:24b

Ollama's default download is Q4_K_M (about 16.2 GB here). You have room for FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the Apple M2 Ultra (192GB)

Run it in the cloud

No Apple M2 Ultra (192GB)? Run Devstral Small 24B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 144 GB the Apple M2 Ultra (192GB) can use. macOS lets the GPU use about 144 GB of the 192 GB unified memory by default.

QuantQualityMemoryFits?Speed
FP16Full quality49.1 GBFits~10 tok/s
Q8_0Near-lossless27 GBFits~19 tok/s
Q6_KExcellent21.3 GBFits~25 tok/s
Q5_K_MVery good18.7 GBFits~29 tok/s
Q4_K_MGood, most popular16.2 GBFits~34 tok/s
Q3_K_MNoticeably degraded13.5 GBFits~42 tok/s
Q2_KHeavily degraded10.8 GBFits~54 tok/s

Measured speed from real Apple M2 Ultra (192GB) owners

Tokens per second that people measured on their own Apple M2 Ultra (192GB), next to our estimate.

No one has measured Devstral Small 24B on the Apple M2 Ultra (192GB) yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an Apple M2 Ultra (192GB)? Add your real speed

One command times Devstral Small 24B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- devstral:24b

Windows (PowerShell)

$env:GPUFIT_MODEL="devstral:24b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Devstral Small 24B comfortably

Models that run well on the Apple M2 Ultra (192GB)

Frequently asked questions

Can Apple M2 Ultra (192GB) run Devstral Small 24B?

Yes. The Apple M2 Ultra (192GB) can run Devstral Small 24B fully in unified memory at FP16 (full quality), using about 49.1 GB of the 144 GB available, at roughly 10 tokens/second.

How much VRAM does Devstral Small 24B need?

About 16.2 GB at Q4_K_M with 8,192 tokens of context, and about 49.1 GB at full FP16 precision.

How fast is Devstral Small 24B on the Apple M2 Ultra (192GB)?

Roughly 10 tokens per second at FP16, estimated from the Apple M2 Ultra (192GB)'s 800 GB/s memory bandwidth.