Will It Run AI

DeepSeekDeepSeek

DeepSeek R1 Distill 70B

前沿
Jan 2025发布日期131K tokens上下文MIT许可证63 良好质量

DeepSeek R1 Distill 70B (70B parameters) requires approximately 49.1 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 57 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 70B on your machine.

Run

ollama run deepseek-r1:70b

Quick specs

Parameters70B
Architecturedense
Context131K tokens
Modalitytext
Min RAM27.3 GB
Rec. RAM42.7 GB (Q4_K_M)
LicenseMIT
FamilyDeepSeek
Code Chat Reasoning

About this model

DeepSeek R1 Distill 70B is a distilled reasoning model based on Llama 70B, offering strong chain-of-thought reasoning at a practical size.

相关模型

你的硬件

检测中...

快速推荐

最佳硬件

DeepSeek R1 Distill 70B 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

QuantBitsVRAMQualityFit
Q2_K
2
27.3 GB
Low
Q3_K_S
3
34.3 GB
Low
NVFP4
4
39.2 GB
Medium
Q4_K_M
4
42.7 GB
Medium
Q5_K_M
5
50.4 GB
High
Q6_K
6
57.4 GB
High
Q8_0
8
74.9 GB
Very High
F16
16
143.5 GB
Maximum

Quality benchmarks

DeepSeek R1 Distill 70B benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+
Aider Polyglot
LiveCodeBench57.5%

Reasoning

MMLU-Pro41.6%
GPQA Diamond65.2%
MATH-50094.5%
ARC Challenge

General

Chatbot Arena
IFEval43.4%

Source: official · 2025-01-20

硬件兼容性

全部硬件的适配估算

打开计算器

Computing compatibility...

内存详细分析

Reference: RTX 2060 6GB

Weights42.7 GB
KV Cache4.9 GB
Runtime0.9 GB
Headroom0.6 GB

常见问题

FAQ — DeepSeek R1 Distill 70B

另请参阅