DeepSeek
DeepSeek R1 1.5B
777.9Kダウンロード1.5KいいねJan 2025公開日33K トークンコンテキストMITライセンス28 入門品質
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.
はじめに
— コピー&ペーストでローカル実行Copy-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
関連モデル
おすすめ
最適なハードウェア
DeepSeek R1 1.5Bのおすすめ
このモデルを実行
量子化オプション
量子化レベル別VRAM推定値
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
ハードウェア互換性
全ハードウェアの適合度推定
Computing compatibility...
メモリ内訳
Reference: RTX 2060 6GB
Weights0.9 GB
KV Cache0.4 GB
Runtime1.2 GB
Headroom0.6 GB
よくある質問
FAQ — DeepSeek R1 1.5B
関連項目