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text model · Laguna · Windows

Can I run Laguna XS 2.1 on 8GB RAM Laptop (CPU/iGPU only)?

Compatibility verdict VRAM threshold engine
No, not enough memory would not load

No. Laguna XS 2.1 needs ~22.2 GB even at Q4_K_M, but 8GB RAM Laptop (CPU/iGPU only) only has ~5 GB usable.

Needs ~22.2 GB Device usable ~5 GB

Needs ~22.2 GB even at Q4_K_M, but only ~5 GB is usable.

That figure is at a 4k context and moves about ±15% as context length changes.

The gap is about 17.2 GB: Laguna XS 2.1 needs roughly 22.2 GB at Q4_K_M and 8GB RAM Laptop (CPU/iGPU only) leaves only about 5 GB usable for a model. The lightest tracked hardware that runs Laguna XS 2.1 is the Nvidia GeForce RTX 4090 (24GB) at 24 GB. See Laguna XS 2.1 on Nvidia GeForce RTX 4090 (24GB).

Q4_K_M needed
~22.2 GB
Usable on device
~5 GB
Device memory
8 GB
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Which quant fits

Quant ladder vs ~5 GB usable
Q2_K
~16.2 GB
Q3_K_M
~18.5 GB
Q4_K_M
~22.2 GB
Q5_K_M
~26 GB
Q6_K
~29.6 GB
Q8_0
~38.2 GB
FP16
~69.2 GB
The line marks 8GB RAM Laptop (CPU/iGPU only)'s ~5 GB budget; rungs past it are too large.
Model Laguna
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
Full Laguna XS 2.1 requirements →
Device Windows
Memory
8 GB ram
Usable for weights
~5 GB
Power draw
~15 W
Best runtime
Ollama (llama.cpp backend)
Best models for 8GB RAM Laptop (CPU/iGPU only) →

What you can run instead

Run Laguna XS 2.1 on other hardware

FAQ

Can 8GB RAM Laptop (CPU/iGPU only) run Laguna XS 2.1?

No. Laguna XS 2.1 needs ~22.2 GB even at Q4_K_M, but 8GB RAM Laptop (CPU/iGPU only) only has ~5 GB usable.

How much memory does Laguna XS 2.1 need?

8GB RAM Laptop (CPU/iGPU only) does not have enough memory. 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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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.