
DeepSeek V3 on AMD Radeon RX 7600
AMD Radeon RX 7600 cannot run DeepSeek V3. 8 GB VRAM is insufficient at any quantization level.
Model Size
671B
Device VRAM
8 GB
Bandwidth
288 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for DeepSeek V3 on AMD Radeon RX 7600 at Q2_K. This pairing has limitations β check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | β | β | β Offload | Not viable | estimated |
Notes
Q2_K
Budget RDNA 3 card. Vulkan is the most reliable local runtime; ROCm support is more limited. Q2_K needs ~115GB and relies on offloading on this card. MoE models still have to load the full expert pool into memory.
About DeepSeek V3
DeepSeek V3 (671B) is a chat, coding, ai coding, reasoning, multi-purpose model. Massive MoE model rivaling GPT-4 class. Only ~37B parameters active per token despite 671B total. Requires multi-GPU or very large unified memory (128GB+ Apple Silicon at Q2/Q3). Not for casual home use. Included for completeness and to show what the high end looks like.
View all DeepSeek V3 hardware options βAbout 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 βEstimate 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.