DeepSeek Coder V2 16B needs ~17.2 GB VRAM. Radeon Pro W7800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~83 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
82.9 tok/s
TTFT
2335 ms
Safe context
88K
Memory
17.2 GB / 32.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 82.9 tok/s | 1274 ms | 88K |
| Coding | A | Runs well | 82.9 tok/s | 2335 ms | 88K |
| Agentic Coding | A | Runs well | 82.9 tok/s | 3397 ms | 88K |
| Reasoning | A | Runs well | 82.9 tok/s | 2760 ms | 88K |
| RAG | A | Runs well | 82.9 tok/s | 4246 ms | 88K |
How DeepSeek Coder V2 16B (16B params) fits at each quantization level on Radeon Pro W7800 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 6.2 GB | Low | A73 |
Q3_K_S | 3 | 7.8 GB | Low | A73 |
NVFP4 | 4 |
Copy-paste commands to run DeepSeek Coder V2 16B on your machine.
Run
lms load DeepSeek-Coder-V2-Lite-Instruct && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 51.4 tok/s | ||
| 27B | S | 22.3 tok/s |
Yes, Radeon Pro W7800 32GB can run DeepSeek Coder V2 16B with a A grade (Runs well). Expected decode speed: 82.9 tok/s.
DeepSeek Coder V2 16B (16B parameters) requires approximately 17.2 GB of memory with Q4_K_M quantization.
The recommended quantization for DeepSeek Coder V2 16B is Q4_K_M, which balances quality and memory efficiency.
On Radeon Pro W7800 32GB, DeepSeek Coder V2 16B achieves approximately 82.9 tokens per second decode speed with a time-to-first-token of 2335ms using Q4_K_M quantization.
For coding workloads, DeepSeek Coder V2 16B on Radeon Pro W7800 32GB receives a A grade with 82.9 tok/s and 88K context.
On Radeon Pro W7800 32GB, DeepSeek Coder V2 16B can safely use up to 88K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/deepseek-coder-v2-16b-on-radeon-pro-w7800-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
9.0 GB |
| Medium |
| A74 |
Q4_K_M | 4 | 9.8 GB | Medium | A74 |
Q5_K_M | 5 | 11.5 GB | High | A75 |
Q6_K | 6 | 13.1 GB | High | A76 |
Q8_0Best for your GPU | 8 | 17.1 GB | Very High | A78 |
F16 | 16 | 32.8 GB | Maximum | F0 |
| 27B | S | 16.9 tok/s |
| 35B | S | 43.2 tok/s |
| 30B | S | 53.1 tok/s |