Question 1

Can I run Gemma 3 27B on a AMD Radeon RX 7900 XTX?

Accepted Answer

Yes — AMD Radeon RX 7900 XTX runs Gemma 3 27B fully on GPU at the Q4_K_M quantization. Full GPU inference — 24 GB VRAM meets the 24 GB recommendation.

Question 2

What quantization of Gemma 3 27B should I use on a AMD Radeon RX 7900 XTX?

Accepted Answer

For 24 GB VRAM on the AMD Radeon RX 7900 XTX, the Q4_K_M variant is the best fit. Estimated ~48 tokens/sec on the Q4_K_M quantization.

Question 3

How fast does Gemma 3 27B run on AMD Radeon RX 7900 XTX?

Accepted Answer

Roughly 48 tokens/sec for Q4_K_M. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if AMD Radeon RX 7900 XTX is not enough for Gemma 3 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
Q4_K_MBest fit	16 GB	18 GB	24 GB	8K / 32K	Full GPU	~48
Q8_0	28.7 GB	30 GB	36 GB	8K / 32K	Hybrid CPU+GPU	~10

Can I Run Gemma 3 27B on AMD Radeon RX 7900 XTX?

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Every Gemma 3 27B quantization on AMD Radeon RX 7900 XTX