text model · Laguna · Windows
Can I run Laguna XS 2.1 on 32GB RAM Laptop (CPU/iGPU only)?
Yes. Laguna XS 2.1 runs on 32GB RAM Laptop (CPU/iGPU only) at Q4_K_M (~22.2 GB of ~28 GB usable).
Runs at Q4_K_M using ~22.2 GB of ~28 GB usable.
That figure is at a 4k context and moves about ±15% as context length changes. 32GB RAM Laptop (CPU/iGPU only) leaves ~5.8 GB of headroom.
- Q4_K_M needed
- ~22.2 GB
- Usable on device
- ~28 GB
- Device memory
- 32 GB
- Best quant
- Q4_K_M
Which quant fits
Run it
Loads the Q4_K_M weights.
ollama run laguna-xs-2.1 - Parameters
- 33.4B (MoE, 3B active)
- Q4_K_M size
- 20 GB
- Q8_0 size
- 36 GB
- Context
- 256k
- Ollama tag
- laguna-xs-2.1
- Memory
- 32 GB ram
- Usable for weights
- ~28 GB
- Power draw
- ~28 W
- Best runtime
- Ollama (llama.cpp backend)
You could also run
Run Laguna XS 2.1 on other hardware
FAQ
Can 32GB RAM Laptop (CPU/iGPU only) run Laguna XS 2.1?
Yes. Laguna XS 2.1 runs on 32GB RAM Laptop (CPU/iGPU only) at Q4_K_M (~22.2 GB of ~28 GB usable).
How much memory does Laguna XS 2.1 need?
32GB RAM Laptop (CPU/iGPU only) has room to spare. At Q4_K_M the weights are ~20 GB; with KV cache and runtime overhead, budget ~22.2 GB at a 4k context. It is a Mixture-of-Experts model (33.4B total / 3B active), so all experts must stay in memory; memory tracks total params, not active params.
What is the best tool to run Laguna XS 2.1 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/laguna-xs-2.1/laptop-32gb) Sources
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.