text model · Granite · Windows
Can I run Granite 3.1 2B on 16GB RAM Laptop (CPU/iGPU only)?
Yes. Granite 3.1 2B runs on 16GB RAM Laptop (CPU/iGPU only) at Q4_K_M (~2.8 GB of ~12 GB usable).
Runs at Q4_K_M using ~2.8 GB of ~12 GB usable. You have room for FP16 for higher quality.
- Q4_K_M needed
- ~2.8 GB
- Usable on device
- ~12 GB
- Device memory
- 16 GB
- Best quant
- Q4_K_M
Run it
Pick your tool. All three load the same Q4_K_M weights.
ollama run granite3.1-dense:2b llama-cli -hf bartowski/granite-3.1-2b-instruct-GGUF:Q4_K_M lms get bartowski/granite-3.1-2b-instruct-GGUF AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.
- Parameters
- 2.53B
- Q4_K_M size
- 1.55 GB
- Q8_0 size
- 2.69 GB
- Context
- 128k
- Ollama tag
- granite3.1-dense:2b
- Memory
- 16 GB ram
- Usable for weights
- ~12 GB
- Best runtime
- Ollama (llama.cpp backend)
You could also run
Run Granite 3.1 2B on other hardware
FAQ
Can 16GB RAM Laptop (CPU/iGPU only) run Granite 3.1 2B?
Yes. Granite 3.1 2B runs on 16GB RAM Laptop (CPU/iGPU only) at Q4_K_M (~2.8 GB of ~12 GB usable).
How much memory does Granite 3.1 2B need?
16GB RAM Laptop (CPU/iGPU only) has room to spare. At Q4_K_M the weights are ~1.55 GB; with KV cache and runtime overhead, budget ~2.8 GB at a 4k context.
What is the best tool to run Granite 3.1 2B 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.