text model · Gemma · Windows

Can I run Gemma 3 27B on 8GB RAM Laptop (CPU/iGPU only)?

Compatibility verdict VRAM threshold engine

No, not enough memory would not load

No. Gemma 3 27B needs ~18.6 GB even at Q4_K_M, but 8GB RAM Laptop (CPU/iGPU only) only has ~5 GB usable.

Needs ~18.6 GB Device usable ~5 GB

Needs ~18.6 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 13.6 GB: Gemma 3 27B needs roughly 18.6 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 Gemma 3 27B is the Nvidia GeForce RTX 4090 (24GB) at 24 GB. See Gemma 3 27B on Nvidia GeForce RTX 4090 (24GB).

Q4_K_M needed: ~18.6 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

~13.3 GB

Q3_K_M

~15.2 GB

Q4_K_M

~18.6 GB

Q5_K_M

~21.2 GB

Q6_K

~24.1 GB

Q8_0

~30.7 GB

FP16

~56 GB

The line marks 8GB RAM Laptop (CPU/iGPU only)'s ~5 GB budget; rungs past it are too large.

Model Gemma

Parameters: 27B
Q4_K_M size: 16.55 GB
Q8_0 size: 28.71 GB
Context: 128k
Ollama tag: gemma3:27b

Full Gemma 3 27B 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 Gemma 3 27B on other hardware

Nvidia GeForce RTX 4090 (24GB)Nvidia GeForce RTX 3090 (24GB)AMD Radeon RX 7900 XTX (24GB)Nvidia GeForce RTX 5090 (32GB)32GB RAM Laptop (CPU/iGPU only)Apple M5 (32GB)

FAQ

Can 8GB RAM Laptop (CPU/iGPU only) run Gemma 3 27B?

No. Gemma 3 27B needs ~18.6 GB even at Q4_K_M, but 8GB RAM Laptop (CPU/iGPU only) only has ~5 GB usable.

How much memory does Gemma 3 27B need?

8GB RAM Laptop (CPU/iGPU only) does not have enough memory. At Q4_K_M the weights are ~16.55 GB; with KV cache and runtime overhead, budget ~18.6 GB at a 4k context.

What is the best tool to run Gemma 3 27B 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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Markdown

[![Gemma 3 27B on 8GB RAM Laptop (CPU/iGPU only)](https://localmodel.run/badge/gemma-3-27b/laptop-8gb.svg)](https://localmodel.run/can-i-run/gemma-3-27b/laptop-8gb)

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.