👁 DeepSeek
DeepSeek
DeepSeek R1 Distill 70B
Frontier
Jan 2025Released131K tokensContextMITLicense63 GoodQuality
DeepSeek R1 Distill 70B (70B parameters) requires approximately 49.1 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 57 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run DeepSeek R1 Distill 70B on your machine.
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ollama run deepseek-r1:70bQuick specs
Parameters70B
Architecturedense
Context131K tokens
Modalitytext
Min RAM27.3 GB
Rec. RAM42.7 GB (Q4_K_M)
LicenseMIT
FamilyDeepSeek
✓ Code✓ Chat✓ Reasoning
About this model
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Your hardware
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Quick picks
Best budgetA
MacBook Pro M4 Max 96GB~$2,499 — 15 tok/s
Best overallA
NVIDIA H100 80GB~$40,000 — 72 tok/sBest hardware
Top picks for DeepSeek R1 Distill 70B
Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 27.3 GB | Low | — |
Q3_K_S | 3 | 34.3 GB | Low | — |
NVFP4 | 4 | 39.2 GB | Medium | — |
Q4_K_M | 4 | 42.7 GB | Medium | — |
Q5_K_M | 5 | 50.4 GB | High | — |
Q6_K | 6 | 57.4 GB | High | — |
Q8_0 | 8 | 74.9 GB | Very High | — |
F16 | 16 | 143.5 GB | Maximum | — |
Quality benchmarks
DeepSeek R1 Distill 70B benchmark scores
Coding
SWE-bench Verified—
HumanEval+—
Aider Polyglot—
LiveCodeBench57.5%
Reasoning
MMLU-Pro41.6%
GPQA Diamond65.2%
MATH-50094.5%
ARC Challenge—
General
Chatbot Arena—
IFEval43.4%
Source: official · 2025-01-20
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights42.7 GB
KV Cache4.9 GB
Runtime0.9 GB
Headroom0.6 GB
Frequently asked questions
FAQ — DeepSeek R1 Distill 70B
See also