DeepSeek
DeepSeek R1 Distill 32B
前沿
596.8K下载量1.6K点赞Jan 2025发布日期33K tokens上下文MIT许可证61 良好质量
DeepSeek R1 Distill 32B (32B parameters) requires approximately 25.2 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 29 GB of VRAM.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run DeepSeek R1 Distill 32B on your machine.
Run
ollama run deepseek-r1:32bQuick specs
Parameters32B
Architecturedense
Context33K tokens
Modalitytext
Min RAM12.5 GB
Rec. RAM19.5 GB (Q4_K_M)
LicenseMIT
FamilyDeepSeek
✓ Chat✓ Reasoning
About this model
- •We directly apply reinforcement learning (RL) to the base model without relying on supervised fine-tuning (SFT) as a preliminary step. This...
- •We introduce our pipeline to develop DeepSeek-R1. The pipeline incorporates two RL stages aimed at discovering improved reasoning patterns and...
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最佳硬件
DeepSeek R1 Distill 32B 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 | 12.5 GB | Low | — |
Q3_K_S | 3 | 15.7 GB | Low | — |
NVFP4 | 4 | 17.9 GB | Medium | — |
Q4_K_M | 4 | 19.5 GB | Medium | — |
Q5_K_M | 5 | 23.0 GB | High | — |
Q6_K | 6 | 26.2 GB | High | — |
Q8_0 | 8 | 34.2 GB | Very High | — |
F16 | 16 | 65.6 GB | Maximum | — |
Quality benchmarks
DeepSeek R1 Distill 32B benchmark scores
Coding
SWE-bench Verified—
HumanEval+—
Aider Polyglot—
LiveCodeBench57.2%
Reasoning
MMLU-Pro41.0%
GPQA Diamond62.1%
MATH-50094.3%
ARC Challenge—
General
Chatbot Arena—
IFEval41.9%
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
Weights19.5 GB
KV Cache3.9 GB
Runtime1.2 GB
Headroom0.6 GB
常见问题
FAQ — DeepSeek R1 Distill 32B
另请参阅