DeepSeekDeepSeek

DeepSeek LLM 7B

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34.8KDownloads222LikesJan 2024Veröffentlicht4K TokenKontextDeepSeekLizenz1 EinstiegQualität

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 commands to run DeepSeek LLM 7B on your machine.

Run

ollama run deepseek-llm

Quick specs

Parameters7B
Architecturedense
Context4K tokens
Modalitytext
Min RAM2.7 GB
Rec. RAM4.3 GB (Q4_K_M)
LicenseDeepSeek
FamilyDeepSeek
Chat

About this model

Introducing DeepSeek LLM, an advanced language model comprising 7 billion parameters. It has been trained from scratch on a vast dataset of 2 trillion tokens in both English and Chinese. In order to foster research, we have made DeepSeek LLM 7B/67B Base and DeepSeek LLM 7B/67B Chat open source for the research community.

  • Home Page:: DeepSeek
  • Repository:: deepseek-ai/deepseek-LLM
  • Chat With DeepSeek LLM:: DeepSeek-LLM

Verwandte Modelle

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Schnellauswahl

Beste Hardware

Top-Empfehlungen für DeepSeek LLM 7B

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Quantisierungsoptionen

VRAM-Schätzungen nach Quantisierungsstufe

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
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

Benchmark verified

Reasoning

MMLU-Pro12.6%
GPQA Diamond2.1%
MATH-5002.0%
ARC Challenge

General

Chatbot Arena
IFEval41.7%

Source: community · 2025-01-01

Hardware-Kompatibilität

Eignungsschätzungen für alle Hardware

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Computing compatibility...

Speicheraufschlüsselung

Reference: RTX 2060 6GB

Weights4.3 GB
KV Cache7.3 GB
Runtime1.2 GB
Headroom0.6 GB

Häufig gestellte Fragen

FAQ — DeepSeek LLM 7B

Siehe auch