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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Models/DeepSeek R1 Distill 14B

DeepSeekDeepSeek

DeepSeek R1 Distill 14B

Frontier
huggingfaceHuggingFaceollamaOllama
745.4KDownloads609LikesJan 2025Released33K tokensContextMITLicense4 EntryQuality

Get started

— copy & paste to run locally
Ollama
ollama run deepseek-r1-distill-14b
HuggingFace
huggingface-cli download deepseek-r1-distill-14b

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...

Related models

Your hardware

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Quick picks

AMD
Best budgetC
RX 7600 XT 16GB~$329 — 20 tok/s
AMD
Best overallC
RX 7900 XT 20GB~$899 — 56 tok/s

Best hardware

Top picks for DeepSeek R1 Distill 14B

NVIDIA
RTX A4500 20GBC
20 GB
AMD
RX 7900 XT 20GBC
20 GB
NVIDIA
RTX 4090 24GBC
24 GB
NVIDIA
RTX 5090 Laptop 24GBC
24 GB
NVIDIA
NVIDIA A30 24GBC
24 GB

Quantization options

VRAM estimates by quant level

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—

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights8.5 GB
KV Cache2.2 GB
Runtime0.9 GB
Headroom2.4 GB