DeepSeek

DeepSeek R1 671B

Name: DeepSeek R1 671B
Author: DeepSeek

前沿

HuggingFace

Ollama

5.2M下载量13.4K点赞Jan 2025发布日期131K tokens上下文MIT许可证84 优秀质量

DeepSeek R1 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 R1 671B on your machine.

Run

ollama run deepseek-r1

Quick specs

Parameters671B (37B active)

Architecturemoe (MoE)

Context131K tokens

Modalitytext

Min RAM261.7 GB

Rec. RAM409.3 GB (Q4_K_M)

LicenseMIT

FamilyDeepSeek

✓ Chat✓ Reasoning

About this model

We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning. With RL, DeepSeek-R1-Zero naturally emerged with numerous powerful and interesting reasoning behaviors. However, DeepSeek-R1-Zero encounters challenges such as endless repetition, poor readability, and language mixing.

•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...

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 R1 671B benchmark scores

Benchmark verified

Coding

SWE-bench Verified49.2%

HumanEval+85.0%

Aider Polyglot53.3%

LiveCodeBench65.9%

Reasoning

MMLU-Pro84.0%

GPQA Diamond71.5%

MATH-50097.3%

ARC Challenge—

General

Chatbot Arena—

IFEval83.3%

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

Weights409.3 GB

KV Cache59.6 GB

Runtime0.9 GB

Headroom0.6 GB

常见问题

FAQ — DeepSeek R1 671B

另请参阅

量化指南评分方法打开计算器