DeepSeek
DeepSeek V3.2
前沿
Jan 2026发布日期128K tokens上下文MIT许可证90 卓越质量
DeepSeek V3.2 (671B parameters) requires approximately 411.6 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 37B 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 474 GB of VRAM.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run DeepSeek V3.2 on your machine.
Run
ollama run deepseek-v3.2Quick specs
Parameters671B (37B active)
Architecturemoe (MoE)
Context128K tokens
Modalitytext
Min RAM261.7 GB
Rec. RAM409.3 GB (Q4_K_M)
LicenseMIT
FamilyDeepSeek
✓ Code✓ Chat✓ Reasoning
About this model
- •671B total / 37B active MoE
- •DeepSeek Sparse Attention
- •128K context
- •MIT license
- •67.8% SWE-bench Verified
相关模型
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 | 261.7 GB | Low | — |
Q3_K_S | 3 | 328.8 GB | Low | — |
NVFP4 | 4 | 375.8 GB | Medium | — |
Q4_K_M | 4 | 409.3 GB | Medium | — |
Q5_K_M | 5 | 483.1 GB | High | — |
Q6_K | 6 | 550.2 GB | High | — |
Q8_0 | 8 | 718.0 GB | Very High | — |
F16 | 16 | 1375.6 GB | Maximum | — |
Quality benchmarks
DeepSeek V3.2 benchmark scores
Coding
SWE-bench Verified—
HumanEval+—
Aider Polyglot—
LiveCodeBench74.1%
Reasoning
MMLU-Pro85.0%
GPQA Diamond—
MATH-500—
ARC Challenge—
Source: official · 2025-12-01
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
Weights409.3 GB
KV Cache0.5 GB
Runtime1.2 GB
Headroom0.6 GB
常见问题
FAQ — DeepSeek V3.2
另请参阅