DeepSeekDeepSeek Coder V2 Lite 16B on AMD Radeon RX 9060 XT 16GB
Yes — AMD Radeon RX 9060 XT 16GB handles DeepSeek Coder V2 Lite 16B well at Q5_K_M — 44 tok/s. Solid daily-driver performance on 16 GB VRAM.
Model Size
15.7B
Device VRAM
16 GB
Bandwidth
320 GB/s
Quantization
Q5_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for DeepSeek Coder V2 Lite 16B on AMD Radeon RX 9060 XT 16GB at Q5_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q5_K_M | 44 tok/s | 170ms | ✓ Yes | Good | estimated |
Notes
Q5_K_M
RDNA 4 card with improving ROCm support; Vulkan remains the safer default in llama.cpp. Q5_K_M fits in VRAM 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 9060 XT 16GB
AMD Radeon RX 9060 XT 16GB has 16 GB at 320 GB/s. Street price: $349.
See all models AMD Radeon RX 9060 XT 16GB can run →Estimate method: Estimated from rtx-4060-ti-16gb compatibility patterns plus ROCm/Vulkan adjustments. Reference hardware source: github.com (2026-05-26)
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.