DeepSeekDeepSeek Coder V2 Lite 16B on AMD Radeon RX 7600
AMD Radeon RX 7600 cannot run DeepSeek Coder V2 Lite 16B. 8 GB VRAM is insufficient at any quantization level.
Model Size
15.7B
Device VRAM
8 GB
Bandwidth
288 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for DeepSeek Coder V2 Lite 16B on AMD Radeon RX 7600 at Q3_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 10 tok/s | 578ms | ✗ Offload | Marginal | estimated |
Notes
Q3_K_M
Budget RDNA 3 card. Vulkan is the most reliable local runtime; ROCm support is more limited. Q3_K_M needs ~7.4GB and relies on offloading on this card.
About DeepSeek Coder V2 Lite 16B
DeepSeek Coder V2 Lite 16B (15.7B) is a coding, ai coding, ai building model. Mixture-of-Experts architecture: 15.7B total, ~2.4B active per token. Fast and capable code generation and completion. Inference speed belies the total param count. One of the best coding models for its effective size.
View all DeepSeek Coder V2 Lite 16B 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.