text model · Granite · Windows
Can I run Granite 4.0 H Small on 16GB RAM Laptop (CPU/iGPU only)?
No. Granite 4.0 H Small needs ~20.4 GB even at Q4_K_M, but 16GB RAM Laptop (CPU/iGPU only) only has ~12 GB usable.
Needs ~20.4 GB even at Q4_K_M, but only ~12 GB is usable.
- Q4_K_M needed
- ~20.4 GB
- Usable on device
- ~12 GB
- Device memory
- 16 GB
- Parameters
- 32B (MoE, 9B active)
- Q4_K_M size
- 18.23 GB
- Q8_0 size
- 31.91 GB
- Context
- 128k
- Ollama tag
- granite4:small-h
- Memory
- 16 GB ram
- Usable for weights
- ~12 GB
- Best runtime
- Ollama (llama.cpp backend)
What you can run instead
Run Granite 4.0 H Small on other hardware
FAQ
Can 16GB RAM Laptop (CPU/iGPU only) run Granite 4.0 H Small?
No. Granite 4.0 H Small needs ~20.4 GB even at Q4_K_M, but 16GB RAM Laptop (CPU/iGPU only) only has ~12 GB usable.
How much memory does Granite 4.0 H Small need?
16GB RAM Laptop (CPU/iGPU only) does not have enough memory. At Q4_K_M the weights are ~18.23 GB; with KV cache and runtime overhead, budget ~20.4 GB at a 4k context. It is a Mixture-of-Experts model (32B total / 9B active), so all experts must stay in memory; memory tracks total params, not active params.
What is the best tool to run Granite 4.0 H Small 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.
Sources
Memory figures are estimates. See methodology.