Question 1

Can I run Gemma 4 26B A4B on a NVIDIA GeForce RTX 4080?

Accepted Answer

Mostly — NVIDIA GeForce RTX 4080 runs Gemma 4 26B A4B (Q3_K_M) with partial GPU offload. Expect slower speeds than a fully fitting card. Partial GPU offload — 16 GB VRAM is above the 15 GB minimum but below the 18 GB recommendation. Some layers will spill to RAM.

Question 2

What quantization of Gemma 4 26B A4B should I use on a NVIDIA GeForce RTX 4080?

Accepted Answer

For 16 GB VRAM on the NVIDIA GeForce RTX 4080, the Q3_K_M variant is the best fit. Estimated ~26 tokens/sec on the Q3_K_M quantization.

Question 3

How fast does Gemma 4 26B A4B run on NVIDIA GeForce RTX 4080?

Accepted Answer

Roughly 26 tokens/sec for Q3_K_M. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if NVIDIA GeForce RTX 4080 is not enough for Gemma 4 26B A4B?

Accepted Answer

Try a smaller quantization variant or run on CPU + RAM with the trade-off of slower generation.

Quantization	File Size	Min VRAM	Rec VRAM	Context	Verdict	Estimated tok/s
Q3_K_MBest fit	13.3 GB	15 GB	18 GB	8K / 256K	Partial GPU	~26
Q4_K_M	16.6 GB	18.5 GB	24 GB	8K / 256K	Hybrid CPU+GPU	~11
Q8_0	29.2 GB	31 GB	36 GB	8K / 256K	Hybrid CPU+GPU	~8

Can I Run Gemma 4 26B A4B on NVIDIA GeForce RTX 4080?

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Every Gemma 4 26B A4B quantization on NVIDIA GeForce RTX 4080