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DeepSeek
DeepSeek LLM 7B
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50.6KDownloads223LikesJan 2024Released4K tokensContextDeepSeekLicense1 EntryQuality
DeepSeek LLM 7B (7B parameters) requires approximately 13.4 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 16 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run DeepSeek LLM 7B on your machine.
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ollama run deepseek-llmQuick specs
Parameters7B
Architecturedense
Context4K tokens
Modalitytext
Min RAM2.7 GB
Rec. RAM4.3 GB (Q4_K_M)
LicenseDeepSeek
FamilyDeepSeek
✓ Chat
About this model
- •Home Page:: DeepSeek
- •Repository:: deepseek-ai/deepseek-LLM
- •Chat With DeepSeek LLM:: DeepSeek-LLM
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Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | — |
Q3_K_S | 3 | 3.4 GB | Low | — |
NVFP4 | 4 | 3.9 GB | Medium | — |
Q4_K_M | 4 | 4.3 GB | Medium | — |
Q5_K_M | 5 | 5.0 GB | High | — |
Q6_K | 6 | 5.7 GB | High | — |
Q8_0 | 8 | 7.5 GB | Very High | — |
F16 | 16 | 14.3 GB | Maximum | — |
Quality benchmarks
DeepSeek LLM 7B benchmark scores
Reasoning
MMLU-Pro12.6%
GPQA Diamond2.1%
MATH-5002.0%
ARC Challenge—
General
Chatbot Arena—
IFEval41.7%
Source: community · 2025-01-01
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights4.3 GB
KV Cache7.3 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — DeepSeek LLM 7B
See also