DeepSeek
DeepSeek Coder V2 236B
当前62.7K下载量687点赞Jun 2024发布日期131K tokens上下文DeepSeek许可证84 优秀质量
DeepSeek 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.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run DeepSeek Coder V2 236B on your machine.
Run
lms load DeepSeek-Coder-V2-Instruct && lms server startQuick specs
Parameters236B (21B active)
Architecturemoe (MoE)
Context131K tokens
Modalitytext
Min RAM92 GB
Rec. RAM144 GB (Q4_K_M)
LicenseDeepSeek
FamilyDeepSeek
✓ Reasoning
About this model
相关模型
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最佳硬件
DeepSeek Coder V2 236B 的最佳选择
运行此模型
量化选项
各量化级别的 VRAM 估算
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
SWE-bench Verified—
HumanEval+90.2%
Aider Polyglot—
LiveCodeBench43.4%
Reasoning
MMLU-Pro75.9%
GPQA Diamond59.1%
MATH-50075.7%
ARC Challenge—
Source: official · 2024-06-17
硬件兼容性
全部硬件的适配估算
Computing compatibility...
内存详细分析
Reference: RTX 2060 6GB
Weights144.0 GB
KV Cache58.6 GB
Runtime0.9 GB
Headroom0.6 GB
常见问题
FAQ — DeepSeek Coder V2 236B
另请参阅