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Device profile · Windows

Best local LLMs for 16GB RAM Laptop (CPU/iGPU only)

16GB RAM Laptop (CPU/iGPU only) has ~12 GB usable for model weights and runs 43 of 67 popular models. Best tool: LM Studio.

Usable memory
~12 GB
Models run
43
Too large
24
Top pick
8B
Top pick Q4_K_M
Llama 3.1 8B Yes

Runs at Q4_K_M using ~6.4 GB of ~12 GB usable. You have room for Q8_0 for higher quality.

Runs on 16GB RAM Laptop (CPU/iGPU only)

Compatible models 43 total

Too large for this device

DeepSeek R1DeepSeek V3Qwen3 235B A22Bgpt-oss 120BLlama 4 ScoutSarvam-105BQwen2.5 72BLlama 3.3 70BMixtral 8x7BCommand R 35BYi 1.5 34BQwen2.5 32BQwen3 32BDeepSeek-R1-Distill-Qwen 32BQwen2.5 Coder 32BGranite 4.0 H SmallQwen3 30B-A3BSarvam-30BGemma 2 27BGemma 3 27BMistral Small 3 24BSarvam-M 24Bgpt-oss 20BDeepSeek-V2-Lite

Best way to run models on Windows

Runtime guide Windows

Beginner: LM Studio, Best GUI on Windows, auto-detects CUDA/Vulkan backends.

Power user: Ollama (CUDA), Scriptable server; CUDA path is fastest on NVIDIA.

AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.

Full Windows tool guide →

FAQ

What is the best local LLM for 16GB RAM Laptop (CPU/iGPU only)?

Llama 3.1 8B is the strongest model that runs comfortably, using ~6.4 GB at Q4_K_M of the ~12 GB usable on 16GB RAM Laptop (CPU/iGPU only).

How much of 16GB RAM Laptop (CPU/iGPU only)'s memory can I use for a model?

About 12 GB. On a CPU-only machine, leave headroom for the OS and apps.

Which tool should I use on Windows?

LM Studio (Best GUI on Windows, auto-detects CUDA/Vulkan backends.) or Ollama (CUDA) for speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.

Sources

Memory figures are estimates. See methodology.