Can I Run Devstral on Apple M2?
Written by Jakub Rusinowski · Last updated September 11, 2026
Yes, but it's tight — Devstral Small 2505 24B at Q4_K_M needs 16.6 GB at 8K context (14.5 GB weights + 2.1 GB KV cache/overhead), leaving ~1.4 GB of the Apple M2's 18 GB usable memory, at ~4 tok/s (est.), with room for up to 16K context.
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Apple M2 Specs
| VRAM | 24 GB unified memory |
| Memory Bandwidth | 100 GB/s |
Devstral Small 2505 24B on the Apple M2: VRAM by quantization
| Quant | VRAM needed | Fits 24 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 50.1 GB | ✗ No | — | — |
| Q8_0 | 27.6 GB | ✗ No | — | — |
| Q6_K | 21.8 GB | ✗ No | — | — |
| Q5_K_M | 19.2 GB | ✗ No | — | — |
| Q4_K_M | 16.6 GB | ✓ Yes | 16K | — |
| Q3_K_M | 12.4 GB | ✓ Yes | 32K | — |
| Q2_K | 10 GB | ✓ Yes | 32K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 24 GB of unified memory. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the Apple M2: 8K 16.6 GB · 32K 20.7 GB ✗ · 128K 36.8 GB ✗. Past 32K it no longer fits 24 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Devstral Small 2505 24B on 24 GB of system RAM, CPU only: runs comfortably.
Devstral Sizes That Fit the Apple M2 (at 8K context)
| Devstral Small 2505 24B | Q4_K_M · 16.6 GB at 8K context · ~4 tok/s (est.) |
| Devstral Small 2 24B | Q4_K_M · 16.6 GB at 8K context · ~4 tok/s (est.) |
| Devstral 2 22B | Q4_K_M · 15.7 GB at 8K context · ~4 tok/s (est.) |
Devstral needs ~17 GB but this GPU has 24 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Will Devstral run on the Apple M2?
Yes, but it's tight — Devstral Small 2505 24B at Q4_K_M needs 16.6 GB at 8K context (14.5 GB weights + 2.1 GB KV cache/overhead), leaving ~1.4 GB of the Apple M2's 18 GB usable memory, at ~4 tok/s (est.), with room for up to 16K context.
Which Devstral variant fits best on the Apple M2?
Devstral Small 2505 24B at Q4_K_M quantization needs 16.6 GB at 8K context (14.5 GB weights + 2.1 GB KV cache/overhead), estimated ~4 tokens/sec, up to 16K context.
Every Devstral size on the Apple M2
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Devstral-2 123B | 77.9 GB | Does not fit | — |
| Devstral Small 2505 24B | 16.6 GB | Runs | ~4 tok/s |
| Devstral Small 2 24B | 16.6 GB | Runs | ~4 tok/s |
Devstral on Other GPUs
- Devstral on NVIDIA GeForce RTX 4090
- Devstral on NVIDIA GeForce RTX 3090
- Devstral on AMD Radeon RX 7900 XTX
- Devstral on Apple M4 Pro
- Devstral on Apple M3
VRAM Tier
Troubleshooting
- Ollama: "model requires more system memory than is available"
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
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