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URL: https://willitrunai.com/models/deepseek-r1-distill-8b

โ‡ฑ DeepSeek R1 Distill 8B VRAM Requirements โ€” GPU Compatibility


๐Ÿ‘ DeepSeek
DeepSeek

DeepSeek R1 Distill 8B

Frontier
๐Ÿ‘ huggingface
HuggingFace๐Ÿ‘ ollama
Ollama
305.5KDownloads866LikesJan 2025Released33K tokensContextMITLicense41 BasicQuality

DeepSeek R1 Distill 8B (8B parameters) requires approximately 8.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 10 GB of VRAM.

Get started

โ€” copy & paste to run locally

Copy-paste commands to run DeepSeek R1 Distill 8B on your machine.

Run

ollama run deepseek-r1:8b

Quick specs

Parameters8B
Architecturedense
Context33K tokens
Modalitytext
Min RAM3.1 GB
Rec. RAM4.9 GB (Q4_K_M)
LicenseMIT
FamilyDeepSeek
โœ“ Chatโœ“ 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.

  • โ€ขWe directly apply reinforcement learning (RL) to the base model without relying on supervised fine-tuning (SFT) as a preliminary step. This...
  • โ€ขWe introduce our pipeline to develop DeepSeek-R1. The pipeline incorporates two RL stages aimed at discovering improved reasoning patterns and...

Related models

Your hardware

Detecting...

Quick picks

๐Ÿ‘ Intel
Best budgetB
Intel Arc B570 10GB~$219 โ€” 45 tok/s
๐Ÿ‘ NVIDIA
Best overallA
RTX 3080 Ti 12GB~$1,199 โ€” 112 tok/s

Best hardware

Top picks for DeepSeek R1 Distill 8B

RTX 3080 Ti 12GBA
12 GB
RTX 5070 12GBA
12 GB
RTX 3080 12GBA
12 GB
RTX 2080 Ti 11GBA
11 GB
RTX 4070 Super 12GBA
12 GB

Run this model

DeepSeek R1 Distill 8B on RTX 3080 Ti 12GBDeepSeek R1 Distill 8B on RTX 5070 12GBDeepSeek R1 Distill 8B on RTX 3080 12GB

Quantization options

VRAM estimates by quant level

No hardware detected โ€” fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
3.1 GB
Lowโ€”
Q3_K_S
3
3.9 GB
Lowโ€”
NVFP4
4
4.5 GB
Mediumโ€”
Q4_K_M
4
4.9 GB
Mediumโ€”
Q5_K_M
5
5.8 GB
Highโ€”
Q6_K
6
6.6 GB
Highโ€”
Q8_0
8
8.6 GB
Very Highโ€”
F16
16
16.4 GB
Maximumโ€”

Quality benchmarks

DeepSeek R1 Distill 8B benchmark scores

Benchmark verified

Coding

SWE-bench Verifiedโ€”
HumanEval+โ€”
Aider Polyglotโ€”
LiveCodeBench39.6%

Reasoning

MMLU-Pro12.1%
GPQA Diamond49.0%
MATH-50089.1%
ARC Challengeโ€”

General

Chatbot Arenaโ€”
IFEval37.8%

Source: official ยท 2025-01-20

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: RTX 2060 6GB

Weights4.9 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom0.6 GB

Frequently asked questions

FAQ โ€” DeepSeek R1 Distill 8B

See also

Quantization GuideScoring MethodologyVRAM Calculator