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URL: https://willitrunai.com/models/deepseek-coder-v2-236b

โ‡ฑ DeepSeek Coder V2 236B VRAM Requirements โ€” GPU Compatibility


๐Ÿ‘ DeepSeek
DeepSeek

DeepSeek Coder V2 236B

Current
๐Ÿ‘ huggingface
HuggingFace
4.9KDownloads689LikesJun 2024Released131K tokensContextDeepSeekLicense84 StrongQuality

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.

Get started

โ€” copy & paste to run locally

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
โœ“ 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.

Related models

Your hardware

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Quick picks

Best budgetS
AMD Instinct MI350X 288GB~$8,000 โ€” 109 tok/s

Best hardware

Top picks for DeepSeek Coder V2 236B

AMD Instinct MI350X 288GBS
288 GB
AMD Instinct MI325X 256GBS
256 GB
NVIDIA GB200 192GBA
192 GB
B100 192GBA
192 GB
AMD Instinct MI300X 192GBA
192 GB

Run this model

DeepSeek Coder V2 236B on AMD Instinct MI350X 288GBDeepSeek Coder V2 236B on AMD Instinct MI325X 256GBDeepSeek Coder V2 236B on NVIDIA GB200 192GB

Quantization options

VRAM estimates by quant level

No hardware detected โ€” fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
92.0 GB
Lowโ€”
Q3_K_S
3
115.6 GB
Lowโ€”
NVFP4
4
132.2 GB
Mediumโ€”
Q4_K_M
4
144.0 GB
Mediumโ€”
Q5_K_M
5
169.9 GB
Highโ€”
Q6_K
6
193.5 GB
Highโ€”
Q8_0
8
252.5 GB
Very Highโ€”
F16
16
483.8 GB
Maximumโ€”

Quality benchmarks

DeepSeek Coder V2 236B benchmark scores

Benchmark verified

Coding

SWE-bench Verifiedโ€”
HumanEval+90.2%
Aider Polyglotโ€”
LiveCodeBench43.4%

Reasoning

MMLU-Pro75.9%
GPQA Diamond59.1%
MATH-50075.7%
ARC Challengeโ€”

Source: official ยท 2024-06-17

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: RTX 2060 6GB

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

Frequently asked questions

FAQ โ€” DeepSeek Coder V2 236B

See also

Quantization GuideScoring MethodologyVRAM Calculator