GoogleGemma 2 9B Instruct on AMD Radeon RX 7600
AMD Radeon RX 7600 runs Gemma 2 9B Instruct at Q4_K_M — 22 tok/s. Usable on 8 GB VRAM — see full quantization options below.
Model Size
9.24B
Device VRAM
8 GB
Bandwidth
288 GB/s
Quantization
Q4_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Gemma 2 9B Instruct on AMD Radeon RX 7600 at Q4_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q4_K_M | 22 tok/s | 308ms | ✓ Yes | Acceptable | estimated |
Notes
Q4_K_M
Budget RDNA 3 card. Vulkan is the most reliable local runtime; ROCm support is more limited. Q4_K_M fits in VRAM on this card.
About Gemma 2 9B Instruct
Gemma 2 9B Instruct (9.24B) is a chat, coding, reasoning, multi-purpose model. Google's 9B model with effective knowledge distillation. Competitive with Llama 3.1 8B on most benchmarks. Shorter max context (8K) is the main limitation vs Llama.
View all Gemma 2 9B Instruct hardware options →About AMD Radeon RX 7600
AMD Radeon RX 7600 has 8 GB at 288 GB/s. Street price: $239.
See all models AMD Radeon RX 7600 can run →Estimate method: Estimated from rtx-4060-8gb compatibility patterns plus ROCm/Vulkan adjustments. Reference hardware source: github.com (2026-03-26)
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.