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DeepSeek R1 Distill 7B

588.6KDownloads839CurtidasJan 2025Publicado33K tokensContextoMITLicença42 BásicoQualidade

DeepSeek R1 Distill 7B (7B parameters) requires approximately 6.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 8 GB of VRAM.

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Copy-paste commands to run DeepSeek R1 Distill 7B on your machine.

Run

ollama run deepseek-r1:7b

Quick specs

Parameters7B
Architecturedense
Context33K tokens
Modalitytext
Min RAM2.7 GB
Rec. RAM4.3 GB (Q4_K_M)
LicenseMIT
FamilyDeepSeek
Reasoning

About this model

DeepSeek R1 Distill Qwen 7B is a 7B-parameter reasoning model distilled from the larger DeepSeek-R1. Based on Qwen2.5-Math-7B and fine-tuned on 800K samples from DeepSeek-R1, it delivers strong reasoning with 92.8% on MATH-500 and 49.1 on GPQA Diamond while being far more efficient than the full 671B model.

  • Distilled from DeepSeek-R1 (671B) into a compact 7B dense model
  • 92.8% on MATH-500, 49.1 on GPQA Diamond
  • Full chain-of-thought reasoning with <think> tags
  • MIT license for unrestricted commercial use

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Opções de quantização

Estimativas de VRAM por nível de quantização

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
Low
Q3_K_S
3
3.4 GB
Low
NVFP4
4
3.9 GB
Medium
Q4_K_M
4
4.3 GB
Medium
Q5_K_M
5
5.0 GB
High
Q6_K
6
5.7 GB
High
Q8_0
8
7.5 GB
Very High
F16
16
14.3 GB
Maximum

Quality benchmarks

DeepSeek R1 Distill 7B benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+
Aider Polyglot
LiveCodeBench37.6%

Reasoning

MMLU-Pro14.7%
GPQA Diamond49.1%
MATH-50092.8%
ARC Challenge

General

Chatbot Arena
IFEval40.4%

Source: official · 2025-01-20

Compatibilidade de hardware

Estimativas de compatibilidade para todo o hardware

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Computing compatibility...

Detalhamento de memória

Reference: RTX 2060 6GB

Weights4.3 GB
KV Cache0.9 GB
Runtime0.9 GB
Headroom0.6 GB

Perguntas frequentes

FAQ — DeepSeek R1 Distill 7B

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