
DeepSeek Coder V2 Lite 16B on AMD Radeon RX 9060 XT 8GB
AMD Radeon RX 9060 XT 8GB 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
256 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 8GB at Q5_K_M. This pairing has limitations β check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q5_K_M | β | β | β Offload | Not viable | 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. Does not fit in 8GB VRAM (10.9GB required for Q5_K_M).
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 βAbout AMD Radeon RX 9060 XT 8GB
AMD Radeon RX 9060 XT 8GB has 8 GB at 256 GB/s. Street price: $299.
See all models AMD Radeon RX 9060 XT 8GB can run βEstimate 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.