DeepSeekDeepSeek Coder V2 Lite 16B on AMD Radeon Pro W7900
Yes — AMD Radeon Pro W7900 runs DeepSeek Coder V2 Lite 16B excellently at Q5_K_M — 59 tok/s. 48 GB VRAM with plenty of headroom.
Model Size
15.7B
Device VRAM
48 GB
Bandwidth
864 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 Pro W7900 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 | 59 tok/s | 93ms | ✓ Yes | Excellent | estimated |
Notes
Q5_K_M
AMD workstation card with the best ROCm support in this dataset; best AMD option for larger models. 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 Pro W7900
AMD Radeon Pro W7900 has 48 GB at 864 GB/s. Street price: $3,299.
See all models AMD Radeon Pro W7900 can run →Estimate method: Estimated from rtx-4090 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.