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DeepSeek R1 Distill 14B

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562.1KDownloads652CurtidasJan 2025Publicado33K tokensContextoMITLicença59 BomQualidade

DeepSeek R1 Distill 14B (14B parameters) requires approximately 13.3 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 16 GB of VRAM.

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Copy-paste commands to run DeepSeek R1 Distill 14B on your machine.

Run

ollama run deepseek-r1

Quick specs

Parameters14B
Architecturedense
Context33K tokens
Modalitytext
Min RAM5.5 GB
Rec. RAM8.5 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...

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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
5.5 GB
Low
Q3_K_S
3
6.9 GB
Low
NVFP4
4
7.8 GB
Medium
Q4_K_M
4
8.5 GB
Medium
Q5_K_M
5
10.1 GB
High
Q6_K
6
11.5 GB
High
Q8_0
8
15.0 GB
Very High
F16
16
28.7 GB
Maximum

Quality benchmarks

DeepSeek R1 Distill 14B benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+
Aider Polyglot
LiveCodeBench53.1%

Reasoning

MMLU-Pro40.7%
GPQA Diamond59.1%
MATH-50093.9%
ARC Challenge

General

Chatbot Arena
IFEval43.8%

Source: official · 2025-01-20

Compatibilidade de hardware

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Detalhamento de memória

Reference: RTX 2060 6GB

Weights8.5 GB
KV Cache2.9 GB
Runtime1.2 GB
Headroom0.6 GB

Perguntas frequentes

FAQ — DeepSeek R1 Distill 14B

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