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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

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Copy-paste commands to run DeepSeek R1 1.5B on your machine.

Run

ollama run deepseek-r1:1.5b

Quick specs

Parameters1.5B
Architecturedense
Context33K tokens
Modalitytext
Min RAM0.6 GB
Rec. RAM0.9 GB (Q4_K_M)
LicenseMIT
FamilyDeepSeek
Reasoning

About this model

DeepSeek R1 Distill Qwen 1.5B is a compact reasoning model distilled from DeepSeek-R1, based on Qwen2.5-Math-1.5B. Fine-tuned on 800K curated samples, it achieves 83.9% on MATH-500 and supports chain-of-thought reasoning on resource-constrained devices.

  • 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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你的硬件

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最佳硬件

DeepSeek R1 1.5B 的最佳选择

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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
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

Benchmark verified

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

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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