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DeepSeek
DeepSeek Coder V2 236B
CurrentDeepSeek Coder V2 236B (236B parameters) requires approximately 204.1 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 21B 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 235 GB of VRAM.
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โ copy & paste to run locallyCopy-paste commands to run DeepSeek Coder V2 236B on your machine.
Run
lms load DeepSeek-Coder-V2-Instruct && lms server startQuick specs
About this model
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Quantization options
VRAM estimates by quant level
No hardware detected โ fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 92.0 GB | Low | โ |
Q3_K_S | 3 | 115.6 GB | Low | โ |
NVFP4 | 4 | 132.2 GB | Medium | โ |
Q4_K_M | 4 | 144.0 GB | Medium | โ |
Q5_K_M | 5 | 169.9 GB | High | โ |
Q6_K | 6 | 193.5 GB | High | โ |
Q8_0 | 8 | 252.5 GB | Very High | โ |
F16 | 16 | 483.8 GB | Maximum | โ |
Quality benchmarks
DeepSeek Coder V2 236B benchmark scores
Coding
Reasoning
Source: official ยท 2024-06-17
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Frequently asked questions
FAQ โ DeepSeek Coder V2 236B
See also
