GoogleGemma 2 27B Instruct on AMD Radeon RX 9070
AMD Radeon RX 9070 runs Gemma 2 27B Instruct at Q3_K_M — 22 tok/s. Usable on 16 GB VRAM — see full quantization options below.
Model Size
27.23B
Device VRAM
16 GB
Bandwidth
640 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Gemma 2 27B Instruct on AMD Radeon RX 9070 at Q3_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 22 tok/s | 398ms | ✓ Yes | Acceptable | estimated |
Notes
Q3_K_M
RDNA 4 card with improving ROCm support; Vulkan remains the safer default in llama.cpp. Q3_K_M fits in VRAM on this card.
About Gemma 2 27B Instruct
Gemma 2 27B Instruct (27.23B) is a chat, coding, reasoning, multi-purpose model. Google's 27B model with effective knowledge distillation. Reasoning and coding at a size that fits on a single 24 GB GPU at Q4. Limited to 8K context.
View all Gemma 2 27B Instruct hardware options →About AMD Radeon RX 9070
AMD Radeon RX 9070 has 16 GB at 640 GB/s. Street price: $549.
See all models AMD Radeon RX 9070 can run →Estimate method: Estimated from rtx-4060-ti-16gb compatibility patterns plus ROCm/Vulkan adjustments. Reference hardware source: github.com (2026-04-18)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.