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DeepSeek Coder V2 236B

現行
62.7Kダウンロード687いいねJun 2024公開日131K トークンコンテキストDeepSeekライセンス84 優秀品質

DeepSeek Coder V2 236B (236B parameters) requires approximately 204.1 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 21B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 235 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 Coder V2 236B on your machine.

Run

lms load DeepSeek-Coder-V2-Instruct && lms server start

Quick specs

Parameters236B (21B active)
Architecturemoe (MoE)
Context131K tokens
Modalitytext
Min RAM92 GB
Rec. RAM144 GB (Q4_K_M)
LicenseDeepSeek
FamilyDeepSeek
Reasoning

About this model

We present DeepSeek-Coder-V2, an open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks. Specifically, DeepSeek-Coder-V2 is further pre-trained from an intermediate checkpoint of DeepSeek-V2 with additional 6 trillion tokens. Through this continued pre-training, DeepSeek-Coder-V2 substantially enhances the coding and mathematical reasoning capabilities of DeepSeek-V2, while maintaining comparable performance in general language tasks.

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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
92.0 GB
Low
Q3_K_S
3
115.6 GB
Low
NVFP4
4
132.2 GB
Medium
Q4_K_M
4
144.0 GB
Medium
Q5_K_M
5
169.9 GB
High
Q6_K
6
193.5 GB
High
Q8_0
8
252.5 GB
Very High
F16
16
483.8 GB
Maximum

Quality benchmarks

DeepSeek Coder V2 236B benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+90.2%
Aider Polyglot
LiveCodeBench43.4%

Reasoning

MMLU-Pro75.9%
GPQA Diamond59.1%
MATH-50075.7%
ARC Challenge

Source: official · 2024-06-17

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全ハードウェアの適合度推定

カリキュレーターを開く

Computing compatibility...

メモリ内訳

Reference: RTX 2060 6GB

Weights144.0 GB
KV Cache58.6 GB
Runtime0.9 GB
Headroom0.6 GB

よくある質問

FAQ — DeepSeek Coder V2 236B

関連項目