DeepSeek
DeepSeek R1 1.5B
777.9K下载量1.5K点赞Jan 2025发布日期33K tokens上下文MIT许可证28 入门质量
DeepSeek R1 1.5B (1.5B parameters) requires approximately 3.1 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 4 GB of VRAM.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run DeepSeek R1 1.5B on your machine.
Run
ollama run deepseek-r1:1.5bQuick specs
Parameters1.5B
Architecturedense
Context33K tokens
Modalitytext
Min RAM0.6 GB
Rec. RAM0.9 GB (Q4_K_M)
LicenseMIT
FamilyDeepSeek
✓ Reasoning
About this model
- •Smallest DeepSeek R1 distillation at just 1.5B parameters
- •83.9% on MATH-500, 33.8 on GPQA Diamond
- •Chain-of-thought reasoning in an edge-deployable size
- •MIT license for unrestricted commercial use
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最佳硬件
DeepSeek R1 1.5B 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 | 0.6 GB | Low | — |
Q3_K_S | 3 | 0.7 GB | Low | — |
NVFP4 | 4 | 0.8 GB | Medium | — |
Q4_K_M | 4 | 0.9 GB | Medium | — |
Q5_K_M | 5 | 1.1 GB | High | — |
Q6_K | 6 | 1.2 GB | High | — |
Q8_0 | 8 | 1.6 GB | Very High | — |
F16 | 16 | 3.1 GB | Maximum | — |
Quality benchmarks
DeepSeek R1 1.5B benchmark scores
Coding
SWE-bench Verified—
HumanEval+—
Aider Polyglot—
LiveCodeBench16.9%
Reasoning
MMLU-Pro2.1%
GPQA Diamond33.8%
MATH-50083.9%
ARC Challenge—
General
Chatbot Arena—
IFEval34.6%
Source: official · 2025-01-20
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
Weights0.9 GB
KV Cache0.4 GB
Runtime1.2 GB
Headroom0.6 GB
常见问题
FAQ — DeepSeek R1 1.5B
另请参阅