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DeepSeek
DeepSeek Coder V2 16B
Current1.1MDownloads615LikesJun 2024Released131K tokensContextDeepSeekLicense68 GoodQuality
DeepSeek Coder V2 16B (16B parameters) requires approximately 14.9 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 2.4000000953674316B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 18 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run DeepSeek Coder V2 16B on your machine.
Run
lms load DeepSeek-Coder-V2-Lite-Instruct && lms server startQuick specs
Parameters16B (2.4B active)
Architecturemoe (MoE)
Context131K tokens
Modalitytext
Min RAM6.2 GB
Rec. RAM9.8 GB (Q4_K_M)
LicenseDeepSeek
FamilyDeepSeek
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About this model
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Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 6.2 GB | Low | — |
Q3_K_S | 3 | 7.8 GB | Low | — |
NVFP4 | 4 | 9.0 GB | Medium | — |
Q4_K_M | 4 | 9.8 GB | Medium | — |
Q5_K_M | 5 | 11.5 GB | High | — |
Q6_K | 6 | 13.1 GB | High | — |
Q8_0 | 8 | 17.1 GB | Very High | — |
F16 | 16 | 32.8 GB | Maximum | — |
Quality benchmarks
DeepSeek Coder V2 16B benchmark scores
Coding
SWE-bench Verified—
HumanEval+81.1%
Aider Polyglot—
LiveCodeBench24.3%
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights9.8 GB
KV Cache3.3 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — DeepSeek Coder V2 16B
See also
