Budget Pick
NVIDIA GeForce RTX 508016 GB VRAM · ~80.8 tok/s
Lowest cost that meets recommended VRAM
Check price on AmazonCompatibility Check
Can I Run DeepSeek Coder V2 Lite 16B?
DeepSeek Coder V2 Lite 16B is a 16B parameter model from the DeepSeek family. Check if your hardware can handle it.
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54% of 1,614 scanned PCs run DeepSeek Coder V2 Lite 16B fully on GPU.
1,218 keep at least some work on GPU. Based on anonymous compatibility checks.
Full GPU
867Partial GPU
98Hybrid CPU+GPU
253CPU Only
252Can't Run
144Test Your Hardware
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Hardware Requirements
Beginner tip: minimum values mean the model can start, while recommended values usually feel smoother during real use. VRAM is your GPU's dedicated memory; RAM is your system memory used as fallback. See the full glossary.
| Quantization | File Size | Min VRAM | Recommended VRAM | Min RAM | Context |
|---|---|---|---|---|---|
| Q4_K_MEasiest | 9.5 GB | 11 GB | 16 GB | 16 GB | 8K / 128K |
Not sure your GPU has enough VRAM? Compare GPUs that can run DeepSeek Coder V2 Lite 16B.
Recommended GPUs for DeepSeek Coder V2 Lite 16B
These GPUs meet the recommended 16 GB VRAM for the Q4_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.
Fastest Pick
NVIDIA GeForce RTX 509032 GB VRAM · ~150.9 tok/s
Highest estimated throughput
Check price on AmazonBest Value
NVIDIA GeForce RTX 5070 Ti16 GB VRAM · ~75.5 tok/s
Best speed per dollar of VRAM
Check price on AmazonNeed a detailed comparison? See all GPU rankings for DeepSeek Coder V2 Lite 16B.
Strong OpenClaw Model Candidate
DeepSeek Coder V2 Lite 16B is a common OpenClaw pick for local agent workflows. Use this model with Ollama, llama.cpp, or LM Studio, then confirm full OpenClaw hardware compatibility.
Why choose DeepSeek Coder V2 Lite 16B?
General-purpose local model brief
- • Pilot testing with your own tasks
- • Controlled local experiments
Quantization tip: Benchmark at least two quantizations and validate with a task-specific eval set before production use.