text model · Llama 4 · Windows
Can I run Llama 4 Scout on 16GB RAM Laptop (CPU/iGPU only)?
No. Llama 4 Scout needs ~64.2 GB even at Q4_K_M, but 16GB RAM Laptop (CPU/iGPU only) only has ~12 GB usable.
Needs ~64.2 GB even at Q4_K_M, but only ~12 GB is usable.
That figure is at a 4k context and moves about ±15% as context length changes.
The gap is about 52.2 GB: Llama 4 Scout needs roughly 64.2 GB at Q4_K_M and 16GB RAM Laptop (CPU/iGPU only) leaves only about 12 GB usable for a model. The lightest tracked hardware that runs Llama 4 Scout is the Apple M4 Max (128GB) at 128 GB. See Llama 4 Scout on Apple M4 Max (128GB).
- Q4_K_M needed
- ~64.2 GB
- Usable on device
- ~12 GB
- Device memory
- 16 GB
Which quant fits
- Parameters
- 109B (MoE, 17B active)
- Q4_K_M size
- 60.87 GB
- Q8_0 size
- 106.67 GB
- Context
- 128k
- Ollama tag
- llama4:scout
- Memory
- 16 GB ram
- Usable for weights
- ~12 GB
- Power draw
- ~28 W
- Best runtime
- Ollama (llama.cpp backend)
What you can run instead
Run Llama 4 Scout on other hardware
FAQ
Can 16GB RAM Laptop (CPU/iGPU only) run Llama 4 Scout?
No. Llama 4 Scout needs ~64.2 GB even at Q4_K_M, but 16GB RAM Laptop (CPU/iGPU only) only has ~12 GB usable.
How much memory does Llama 4 Scout need?
16GB RAM Laptop (CPU/iGPU only) does not have enough memory. At Q4_K_M the weights are ~60.87 GB; with KV cache and runtime overhead, budget ~64.2 GB at a 4k context. It is a Mixture-of-Experts model (109B total / 17B active), so all experts must stay in memory; memory tracks total params, not active params.
What is the best tool to run Llama 4 Scout on Windows?
LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.
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A live badge for your model card or README, updated as the data is. [](https://localmodel.run/can-i-run/llama-4-scout/laptop-16gb) Sources
- en.wikipedia.org
- gorilla.cs.berkeley.edu
- huggingface.co/bartowski
- huggingface.co/meta-llama
- huggingface.co/unsloth
- lmstudio.ai
- notebookcheck.net
- ollama.com
- ollama.com/library/llama3.1:8b
- ollama.com/library/llama4
- ollama.com/library/llama4/tags
- ollama.com/library/mistral:7b
- pcworld.com
- techpowerup.com
Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.