Question 1

Can I run Gemma 2 27B on a Intel Arc A770 16GB?

Accepted Answer

Mostly — Intel Arc A770 16GB runs Gemma 2 27B (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 2 27B should I use on a Intel Arc A770 16GB?

Accepted Answer

For 16 GB VRAM on the Intel Arc A770 16GB, the Q3_K_M variant is the best fit. Estimated ~20.8 tokens/sec on the Q3_K_M quantization.

Question 3

How fast does Gemma 2 27B run on Intel Arc A770 16GB?

Accepted Answer

Roughly 20.8 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 Intel Arc A770 16GB is not enough for Gemma 2 27B?

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 GB	15 GB	18 GB	8K / 8K	Partial GPU	~20.8
Q4_K_M	16 GB	18 GB	24 GB	8K / 8K	Hybrid CPU+GPU	~9
Q8_0	28.7 GB	30 GB	36 GB	8K / 8K	Hybrid CPU+GPU	~6

Can I Run Gemma 2 27B on Intel Arc A770 16GB?

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Every Gemma 2 27B quantization on Intel Arc A770 16GB