Can I Run Magistral Small on Apple M1?
作者: Jakub Rusinowski · 最后更新: 2026年9月6日
No — Magistral Small 24B at Q4_K_M needs 17 GB at 8K context (14.5 GB weights + 2.5 GB KV cache/overhead), and the Apple M1's 12 GB usable memory leaves it ~5 GB short. The cheapest card that runs it is the AMD Radeon RX 7900 XT (20 GB).
Get a personalized upgrade path →
或在 Vast.ai 比较,低至 $0.35/小时 (typical low · varies)
作为亚马逊联盟成员,我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金,您无需额外付费。
Apple M1 Specs
| VRAM | 16 GB unified memory |
| Memory Bandwidth | 68 GB/s |
Magistral Small 24B on the Apple M1: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 50.5 GB | ✗ No | — | — |
| Q8_0 | 28 GB | ✗ No | — | — |
| Q6_K | 22.2 GB | ✗ No | — | — |
| Q5_K_M | 19.5 GB | ✗ No | — | — |
| Q4_K_M | 17 GB | ✗ No | — | — |
| Q3_K_M | 12.7 GB | ✗ No | — | — |
| Q2_K | 10.4 GB | ✓ Yes | 8K | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 16 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 M1: 8K 17 GB ✗ · 32K 22 GB ✗ · 128K 42.1 GB ✗. Past 8K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Magistral Small 24B on 16 GB of system RAM, CPU only: runs, but it is tight.
Why It Does Not Fit
Every Magistral Small variant requires more VRAM than the Apple M1 provides (16 GB).
Nearest GPU That Fits
AMD Radeon RX 7900 XT (20 GB VRAM).
Magistral Small needs ~17 GB but this GPU has 16 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Can I run Magistral Small on the Apple M1?
No — Magistral Small 24B at Q4_K_M needs 17 GB at 8K context (14.5 GB weights + 2.5 GB KV cache/overhead), and the Apple M1's 12 GB usable memory leaves it ~5 GB short. The cheapest card that runs it is the AMD Radeon RX 7900 XT (20 GB).
What's the cheapest GPU that runs Magistral Small?
The AMD Radeon RX 7900 XT (20 GB VRAM) is the cheapest upgrade that fits it.
Magistral Small on Other GPUs
- Magistral Small on NVIDIA GeForce RTX 5080
- Magistral Small on NVIDIA GeForce RTX 5070 Ti
- Magistral Small on NVIDIA GeForce RTX 5060 Ti 16GB
- Magistral Small on NVIDIA GeForce RTX 4080 Super
- Magistral Small on NVIDIA GeForce RTX 4080
Popular Models on the Apple M1
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
← Can I Run It? | Magistral Small Model Page | Apple M1 GPU Page | VRAM calculator | Check Your Hardware