Q: What quantization of Gemma 4 26B A4B should I use on a Intel Arc A750?

For 8 GB VRAM on the Intel Arc A750, the Q8_0 variant is the best fit. Estimated ~6 tokens/sec on the Q8_0 quantization.

Q: How fast does Gemma 4 26B A4B run on Intel Arc A750?

Roughly 6 tokens/sec for Q8_0. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Q: What if Intel Arc A750 is not enough for Gemma 4 26B A4B?

Consider upgrading to Apple M3 Pro (36 GB VRAM) which fits the recommended 36 GB target. Or pick a smaller quantization to stay on your current card.

Question 1

Can I run Gemma 4 26B A4B on a Intel Arc A750?

Accepted Answer

Sort of — Intel Arc A750 can run Gemma 4 26B A4B (Q8_0) only by spilling layers to RAM. Generation will be slow. CPU + GPU hybrid — not enough VRAM (8 GB < 31 GB min), but 64 GB RAM is sufficient. Expect significantly slower inference.

Question 2

What quantization of Gemma 4 26B A4B should I use on a Intel Arc A750?

Accepted Answer

For 8 GB VRAM on the Intel Arc A750, the Q8_0 variant is the best fit. Estimated ~6 tokens/sec on the Q8_0 quantization.

Question 3

How fast does Gemma 4 26B A4B run on Intel Arc A750?

Accepted Answer

Roughly 6 tokens/sec for Q8_0. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if Intel Arc A750 is not enough for Gemma 4 26B A4B?

Accepted Answer

Consider upgrading to Apple M3 Pro (36 GB VRAM) which fits the recommended 36 GB target. Or pick a smaller quantization to stay on your current card.

Quantization	File Size	Min VRAM	Rec VRAM	Context	Verdict	Estimated tok/s
Q3_K_M	13.3 GB	15 GB	18 GB	8K / 256K	Hybrid CPU+GPU	~9
Q4_K_M	16.6 GB	18.5 GB	24 GB	8K / 256K	Hybrid CPU+GPU	~8
Q8_0Best fit	29.2 GB	31 GB	36 GB	8K / 256K	Hybrid CPU+GPU	~6

Can I Run Gemma 4 26B A4B on Intel Arc A750?

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Every Gemma 4 26B A4B quantization on Intel Arc A750

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