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DeepSeek LLM 67B

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1.7Kダウンロード206いいねJan 2024公開日4K トークンコンテキストDeepSeekライセンス26 入門品質

DeepSeek LLM 67B (67B parameters) requires approximately 48.2 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 56 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 LLM 67B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "deepseek-ai/deepseek-llm-67b-chat" \ --hf-file "deepseek-llm-67b-chat-Q4_K_M.gguf" \ -c 4096 -ngl 99

Quick specs

Parameters67B
Architecturedense
Context4K tokens
Modalitytext
Min RAM26.1 GB
Rec. RAM40.9 GB (Q4_K_M)
LicenseDeepSeek
FamilyDeepSeek
Chat Reasoning

About this model

Introducing DeepSeek LLM, an advanced language model comprising 67 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

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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

QuantBitsVRAMQualityFit
Q2_K
2
26.1 GB
Low
Q3_K_S
3
32.8 GB
Low
NVFP4
4
37.5 GB
Medium
Q4_K_M
4
40.9 GB
Medium
Q5_K_M
5
48.2 GB
High
Q6_K
6
54.9 GB
High
Q8_0
8
71.7 GB
Very High
F16
16
137.4 GB
Maximum

Quality benchmarks

DeepSeek LLM 67B benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+73.8%
Aider Polyglot
LiveCodeBench

Reasoning

MMLU-Pro32.7%
GPQA Diamond8.8%
MATH-5009.3%
ARC Challenge

General

Chatbot Arena
IFEval55.9%

Source: official · 2024-01-05

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カリキュレーターを開く

Computing compatibility...

メモリ内訳

Reference: RTX 2060 6GB

Weights40.9 GB
KV Cache5.8 GB
Runtime0.9 GB
Headroom0.6 GB

よくある質問

FAQ — DeepSeek LLM 67B

関連項目