DeepSeek
DeepSeek Coder V2 236B
ActualDeepSeek 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.
Comenzar
— copia y pega para ejecutar en localCopy-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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Opciones de cuantización
Estimaciones de VRAM por nivel de cuantización
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 92.0 GB | Low | — |
Q3_K_S | 3 | 115.6 GB | Low | — |
NVFP4 | 4 | 132.2 GB | Medium | — |
Q4_K_M | 4 | 144.0 GB | Medium | — |
Q5_K_M | 5 | 169.9 GB | High | — |
Q6_K | 6 | 193.5 GB | High | — |
Q8_0 | 8 | 252.5 GB | Very High | — |
F16 | 16 | 483.8 GB | Maximum | — |
Quality benchmarks
DeepSeek Coder V2 236B benchmark scores
Coding
Reasoning
Source: official · 2024-06-17
Compatibilidad de hardware
Estimaciones de encaje en todo el hardware
Computing compatibility...
Desglose de memoria
Reference: RTX 2060 6GB
Preguntas frecuentes
FAQ — DeepSeek Coder V2 236B
Ver también