DeepSeek
DeepSeek V3 671B
当前
1.1M下载量4.1K点赞Dec 2024发布日期131K tokens上下文DeepSeek许可证75 优秀质量
DeepSeek V3 671B (671B parameters) requires approximately 470.4 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 541 GB of VRAM.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run DeepSeek V3 671B on your machine.
Run
ollama run deepseek-v3Quick specs
Parameters671B (37B active)
Architecturemoe (MoE)
Context131K tokens
Modalitytext
Min RAM261.7 GB
Rec. RAM409.3 GB (Q4_K_M)
LicenseDeepSeek
FamilyDeepSeek
✓ Chat✓ Reasoning
About this model
- •On top of the efficient architecture of DeepSeek-V2, we pioneer an auxiliary-loss-free strategy for load balancing, which minimizes the...
- •We investigate a Multi-Token Prediction (MTP) objective and prove it beneficial to model performance
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 671B benchmark scores
Coding
SWE-bench Verified42.0%
HumanEval+82.6%
Aider Polyglot49.6%
LiveCodeBench37.6%
Reasoning
MMLU-Pro75.9%
GPQA Diamond59.1%
MATH-50090.2%
ARC Challenge—
General
Chatbot Arena—
IFEval86.1%
Source: official · 2024-12-26
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 Cache59.6 GB
Runtime0.9 GB
Headroom0.6 GB
常见问题
FAQ — DeepSeek V3 671B
另请参阅