text model · Gemma · Windows

Can I run Gemma 4 26B-A4B on AMD Radeon RX 7900 XTX (24GB)?

Compatibility verdict VRAM threshold engine

Yes, it runs GPU accelerated

Yes. Gemma 4 26B-A4B runs on AMD Radeon RX 7900 XTX (24GB) at Q4_K_M (~19 GB of ~23 GB usable).

Needs ~19 GB Device usable ~23 GB

Runs at Q4_K_M using ~19 GB of ~23 GB usable.

That figure is at a 4k context and moves about ±15% as context length changes. AMD Radeon RX 7900 XTX (24GB) leaves ~4 GB of headroom.

Q4_K_M needed: ~19 GB
Usable on device: ~23 GB
Device memory: 24 GB
Best quant: Q4_K_M

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Which quant fits

Quant ladder vs ~23 GB usable

Q2_K

~13.1 GB

Q3_K_M

~15 GB

Q4_K_M

~19 GB

Q5_K_M

~20.9 GB

Q6_K

~23.7 GB

Q8_0

~28.9 GB

FP16

~52.5 GB

The line marks AMD Radeon RX 7900 XTX (24GB)'s ~23 GB budget; rungs past it are too large.

Run it

Install commands Windows

Pick your tool. All 3 load the same Q4_K_M weights.

Ollama

$ ollama run gemma4:26b-a4b

llama.cpp

$ llama-cli -hf bartowski/google_gemma-4-26B-A4B-it-GGUF:Q4_K_M

LM Studio

$ lms get bartowski/google_gemma-4-26B-A4B-it-GGUF

Model Gemma

Parameters: 26.5B (MoE, 3.8B active)
Q4_K_M size: 17.04 GB
Q8_0 size: 26.86 GB
Context: 256k
Ollama tag: gemma4:26b-a4b

Full Gemma 4 26B-A4B requirements →

Device Windows

Memory: 24 GB vram
Usable for weights: ~23 GB
Power draw: ~355 W
Best runtime: Ollama (ROCm) / llama.cpp ROCm (Linux)

Best models for AMD Radeon RX 7900 XTX (24GB) →

You could also run

Run Gemma 4 26B-A4B on other hardware

Nvidia GeForce RTX 4090 (24GB)Nvidia GeForce RTX 3090 (24GB)Nvidia GeForce RTX 5090 (32GB)32GB RAM Laptop (CPU/iGPU only)Apple M5 (32GB)Apple M4 Pro (48GB)

FAQ

Can AMD Radeon RX 7900 XTX (24GB) run Gemma 4 26B-A4B?

Yes. Gemma 4 26B-A4B runs on AMD Radeon RX 7900 XTX (24GB) at Q4_K_M (~19 GB of ~23 GB usable).

How much memory does Gemma 4 26B-A4B need?

AMD Radeon RX 7900 XTX (24GB) has room to spare. At Q4_K_M the weights are ~17.04 GB; with KV cache and runtime overhead, budget ~19 GB at a 4k context. It is a Mixture-of-Experts model (26.5B total / 3.8B active), so all experts must stay in memory; memory tracks total params, not active params.

What is the best tool to run Gemma 4 26B-A4B 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 4 26B-A4B on AMD Radeon RX 7900 XTX (24GB)](https://localmodel.run/badge/gemma-4-26b-a4b/amd-rx-7900-xtx-24gb.svg)](https://localmodel.run/can-i-run/gemma-4-26b-a4b/amd-rx-7900-xtx-24gb)

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.