HARDWARE FIT CHECK • Meta Llama 4 Scout (109B-A17B MoE) + Apple Mac Mini M4 Pro (64GB Unified Memory)71.66 GB / 54 GB VRAM
Can I Run Meta Llama 4 Scout (109B-A17B MoE) on Apple Mac Mini M4 Pro (64GB Unified Memory)?
Full VRAM footprint analysis, tokens/sec generation benchmark, and copy-paste Ollama & vLLM runtime commands for running Meta Llama 4 Scout (109B-A17B MoE) (109B) on Apple Mac Mini M4 Pro (64GB Unified Memory) (54 GB).
⚠️ Exceeds VRAM — Requires Partial CPU/RAM Offload (Slow)71.66 GB (133%)~3 t/s
Meta Llama 4 Scout (109B-A17B MoE) on Apple Mac Mini M4 Pro (64GB Unified Memory)
⚠️ Partial Offload — Slow CPU/RAM Spillover
⚡ PARTIAL OFFLOAD
Required VRAM
71.66 GB
133% of hardware capacity (54 GB)Est. Decode Speed
~3 tok/s
17B active params @ 273 GB/sAvailable Headroom
-17.66 GB
Needs +17.66 GB more VRAMMemory Allocation & Headroom
71.66 GB allocated of 54 GB capacity
133% utilized
Weights: 65.4 GB
KV: (32K): 3.22 GB
Overhead: 3.04 GB
Deficit: -17.66 GB
⚡ Architecture & Throughput Transparency: Single-user decode speed (~3 tok/s) is memory-bandwidth bound at batch size = 1 on Apple Mac Mini M4 Pro (64GB Unified Memory) (273 GB/s). Prompt prefill / TTFT (~44 tok/s) is compute-bound and utilizes GPU Tensor cores. Actual latency varies with FlashAttention-2 and runtime engine (Ollama/vLLM/llama.cpp).
OLLAMA_FLASH_ATTENTION=1 OLLAMA_KV_CACHE_TYPE=q8_0 ollama run llama4:scout⚠️ Out of VRAM? Don't downgrade model quality.
Out of VRAMSpin up an on-demand cloud GPU instance in 60 seconds with pre-installed Ollama and vLLM. (Meta Llama 4 Scout (109B-A17B MoE) @ 71.66 GB VRAM)
RunPod Cloud GPUsBest 1-Click Ollama & vLLM
$0.34/hr (RTX 4070 Ti) – $2.39/hr (H100)Vast.ai GPU MarketplaceCheapest Dual RTX 3090 / 4090
$0.18/hr (RTX 3060) – $0.55/hr (RTX 4090)Lambda GPU CloudEnterprise 8x H100 Clusters
$1.99/hr (GH200 / H100)Quantization Precision Matrix
32K ctx • KV: Q8_0| Quantization | Weights | KV Cache | Total VRAM | Est. Speed | Fit Status |
|---|---|---|---|---|---|
| FP1616 bpw | 218 GB | 3.22 GB | 229.6 GB (425%) | 0 t/s | OOM |
| Q8_08.5 bpw | 115.54 GB | 3.22 GB | 123.55 GB (229%) | 0 t/s | OOM |
| Q6_K6.56 bpw | 89.38 GB | 3.22 GB | 96.48 GB (179%) | 0 t/s | OOM |
| Q5_K_M5.68 bpw | 77.39 GB | 3.22 GB | 84.07 GB (156%) | 0 t/s | OOM |
| Q4_K_M4.8 bpw | 65.4 GB | 3.22 GB | 71.66 GB (133%) | ~3 t/s | PARTIAL |
| FP44.25 bpw | 57.77 GB | 3.22 GB | 63.76 GB (118%) | ~4 t/s | PARTIAL |
| IQ3_XS3.3 bpw | 44.69 GB | 3.22 GB | 50.22 GB (93%) | ~22 t/s | FITS |
Local Hardware Configurations & Pricing
High-bandwidth VRAM specs and current market pricesApple Silicon54 GB VRAM
Apple Mac Mini M4 Pro (64GB Unified Memory)
Silent 65W desktop running 32B–70B models with large KV context
273 GB/s65W TDP
$1,999Amazon Prime →
Consumer GPU32 GB VRAM
NVIDIA GeForce RTX 5090 (32GB GDDR7)
Maximum tokens/sec on 27B–35B models & Blackwell FP4 quantization
1792 GB/s575W TDP
$1,999Amazon Prime →
Consumer GPU24 GB VRAM
NVIDIA GeForce RTX 4090 (24GB GDDR6X)
The 24GB CUDA enthusiast standard for 14B–32B Q4_K_M models
1008 GB/s450W TDP
$1,699Amazon Prime →
Multi-GPU Rig48 GB VRAM
2x NVIDIA RTX 3090 Dual Rig (48GB Total VRAM)
Best price-to-VRAM homelab rig for 70B Q4_K_M & Qwen 3.8 27B Q8
936 GB/s700W TDP
$1,550Amazon Prime →
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