DeepSeek
DeepSeek R1 1.5B
777.9KDownloads1.5KCurtidasJan 2025Publicado33K tokensContextoMITLicença28 InicialQualidade
DeepSeek R1 1.5B (1.5B parameters) requires approximately 3.1 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 4 GB of VRAM.
Comece agora
— copie e cole para rodar localmenteCopy-paste commands to run DeepSeek R1 1.5B on your machine.
Run
ollama run deepseek-r1:1.5bQuick specs
Parameters1.5B
Architecturedense
Context33K tokens
Modalitytext
Min RAM0.6 GB
Rec. RAM0.9 GB (Q4_K_M)
LicenseMIT
FamilyDeepSeek
✓ Reasoning
About this model
- •Smallest DeepSeek R1 distillation at just 1.5B parameters
- •83.9% on MATH-500, 33.8 on GPQA Diamond
- •Chain-of-thought reasoning in an edge-deployable size
- •MIT license for unrestricted commercial use
Modelos relacionados
Escolhas rápidas
Melhor hardware
Melhores opções para DeepSeek R1 1.5B
Rodar este modelo
Opções de quantização
Estimativas de VRAM por nível de quantização
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.6 GB | Low | — |
Q3_K_S | 3 | 0.7 GB | Low | — |
NVFP4 | 4 | 0.8 GB | Medium | — |
Q4_K_M | 4 | 0.9 GB | Medium | — |
Q5_K_M | 5 | 1.1 GB | High | — |
Q6_K | 6 | 1.2 GB | High | — |
Q8_0 | 8 | 1.6 GB | Very High | — |
F16 | 16 | 3.1 GB | Maximum | — |
Quality benchmarks
DeepSeek R1 1.5B benchmark scores
Coding
SWE-bench Verified—
HumanEval+—
Aider Polyglot—
LiveCodeBench16.9%
Reasoning
MMLU-Pro2.1%
GPQA Diamond33.8%
MATH-50083.9%
ARC Challenge—
General
Chatbot Arena—
IFEval34.6%
Source: official · 2025-01-20
Compatibilidade de hardware
Estimativas de compatibilidade para todo o hardware
Computing compatibility...
Detalhamento de memória
Reference: RTX 2060 6GB
Weights0.9 GB
KV Cache0.4 GB
Runtime1.2 GB
Headroom0.6 GB
Perguntas frequentes
FAQ — DeepSeek R1 1.5B
Veja também