DeepSeek Coder V2 16B needs ~16.4 GB VRAM. NVIDIA L4 24GB has 24.0 GB. With Q4_K_M quantization, expect ~43 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
42.8 tok/s
TTFT
4522 ms
Safe context
53K
Memory
16.4 GB / 24.0 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 | 42.8 tok/s | 2467 ms | 53K |
| Coding | A | Runs well | 42.8 tok/s | 4522 ms | 53K |
| Agentic Coding | A | Runs well | 42.8 tok/s | 6577 ms | 53K |
| Reasoning | A | Runs well | 42.8 tok/s | 5344 ms | 53K |
| RAG | A | Runs well | 42.8 tok/s | 8222 ms | 53K |
How DeepSeek Coder V2 16B (16B params) fits at each quantization level on NVIDIA L4 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 6.2 GB | Low | A75 |
Q3_K_S | 3 | 7.8 GB | Low | A76 |
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 | 21.2 tok/s | ||
| 27B | S | 8.9 tok/s |
Yes, NVIDIA L4 24GB can run DeepSeek Coder V2 16B with a A grade (Runs well). Expected decode speed: 42.8 tok/s.
DeepSeek Coder V2 16B (16B parameters) requires approximately 16.4 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 NVIDIA L4 24GB, DeepSeek Coder V2 16B achieves approximately 42.8 tokens per second decode speed with a time-to-first-token of 4522ms using Q4_K_M quantization.
For coding workloads, DeepSeek Coder V2 16B on NVIDIA L4 24GB receives a A grade with 42.8 tok/s and 53K context.
On NVIDIA L4 24GB, DeepSeek Coder V2 16B can safely use up to 53K 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-l4-24gb" 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 |
| A77 |
Q4_K_M | 4 | 9.8 GB | Medium | A77 |
Q5_K_M | 5 | 11.5 GB | High | A78 |
Q6_K | 6 | 13.1 GB | High | A79 |
Q8_0Best for your GPU | 8 | 17.1 GB | Very High | A78 |
F16 | 16 | 32.8 GB | Maximum | F0 |
| 27B | S | 6.2 tok/s |
| 35B | A | 13.6 tok/s |
| 30B | S | 30.5 tok/s |