Can I Run Llama 4 on Apple M1 Pro?
Written by Jakub Rusinowski · Last updated July 12, 2026
No — Llama 4 Scout 17B at Q4_K_M needs 68.2 GB at 8K context (65.8 GB weights + 2.4 GB KV cache/overhead), and the Apple M1 Pro's 24 GB usable memory leaves it ~44.2 GB short. The cheapest card that runs it is the NVIDIA RTX PRO 5000 Blackwell (72 GB) (72 GB).
Get a personalized upgrade path →
or compare on Vast.ai from $0.77/hr (typical low · varies)
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
Apple M1 Pro Specs
| VRAM | 32 GB unified memory |
| Memory Bandwidth | 200 GB/s |
Llama 4 Scout 17B on the Apple M1 Pro: VRAM by quantization
| Quant | VRAM needed | Fits 32 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 220.4 GB | ✗ No | — | — |
| Q8_0 | 118.2 GB | ✗ No | — | — |
| Q6_K | 91.8 GB | ✗ No | — | — |
| Q5_K_M | 79.7 GB | ✗ No | — | — |
| Q4_K_M | 68.2 GB | ✗ No | — | — |
| Q3_K_M | 48.9 GB | ✗ No | — | — |
| Q2_K | 38.2 GB | ✗ No | — | — |
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 32 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 Pro: 8K 68.2 GB ✗ · 32K 73.1 GB ✗ · 128K 92.4 GB ✗. Past 8K it no longer fits 32 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Llama 4 Scout 17B on 48 GB of system RAM, CPU only: runs, but it is tight.
Why It Does Not Fit
Every Llama 4 variant requires more VRAM than the Apple M1 Pro provides (32 GB).
Nearest GPU That Fits
NVIDIA RTX PRO 5000 Blackwell (72 GB) (72 GB VRAM).
Llama 4 needs ~68 GB but this GPU has 32 GB. Rent a A100 (80 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
Llama 4 on the Apple M1 Pro — does it fit?
No — Llama 4 Scout 17B at Q4_K_M needs 68.2 GB at 8K context (65.8 GB weights + 2.4 GB KV cache/overhead), and the Apple M1 Pro's 24 GB usable memory leaves it ~44.2 GB short. The cheapest card that runs it is the NVIDIA RTX PRO 5000 Blackwell (72 GB) (72 GB).
What GPU should I get instead to run Llama 4?
The NVIDIA RTX PRO 5000 Blackwell (72 GB) (72 GB VRAM) is the cheapest upgrade that fits it.
Every Llama 4 size on the Apple M1 Pro
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Llama 4 Maverick 17B | 243.9 GB | Does not fit | — |
| Llama 4 Scout 17B | 68.2 GB | Does not fit | — |
Llama 4 on Other GPUs
- Llama 4 on NVIDIA GeForce RTX 5090
- Llama 4 on Apple M4
- Llama 4 on Apple M2 Pro
- Llama 4 on Apple M5
- Llama 4 on Apple M3 Pro
Popular Models on the Apple M1 Pro
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? | Llama 4 Model Page | Apple M1 Pro GPU Page | VRAM calculator | Check Your Hardware