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URL: https://willitrunai.com/models/deepseek-coder-v2-16b

⇱ DeepSeek Coder V2 16B VRAM Requirements — GPU Compatibility


👁 DeepSeek
DeepSeek

DeepSeek Coder V2 16B

Current
👁 huggingface
HuggingFace
1.1MDownloads615LikesJun 2024Released131K tokensContextDeepSeekLicense68 GoodQuality

DeepSeek Coder V2 16B (16B parameters) requires approximately 14.9 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 2.4000000953674316B 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 18 GB of VRAM.

Get started

— copy & paste to run locally

Copy-paste commands to run DeepSeek Coder V2 16B on your machine.

Run

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

Quick specs

Parameters16B (2.4B active)
Architecturemoe (MoE)
Context131K tokens
Modalitytext
Min RAM6.2 GB
Rec. RAM9.8 GB (Q4_K_M)
LicenseDeepSeek
FamilyDeepSeek
✓ Chat

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

👁 Intel
Best budgetA
Intel Arc Pro B60 24GB~$599 — 60 tok/s
Best overallS
RX 7900 XT 20GB~$899 — 117 tok/s

Best hardware

Top picks for DeepSeek Coder V2 16B

RX 7900 XT 20GBS
20 GB
RTX A4500 20GBS
20 GB
RTX 3090 24GBS
24 GB
RTX 3090 Ti 24GBS
24 GB
RTX 4090 24GBS
24 GB

Run this model

DeepSeek Coder V2 16B on RX 7900 XT 20GBDeepSeek Coder V2 16B on RTX A4500 20GBDeepSeek Coder V2 16B on RTX 3090 24GB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
6.2 GB
Low
Q3_K_S
3
7.8 GB
Low
NVFP4
4
9.0 GB
Medium
Q4_K_M
4
9.8 GB
Medium
Q5_K_M
5
11.5 GB
High
Q6_K
6
13.1 GB
High
Q8_0
8
17.1 GB
Very High
F16
16
32.8 GB
Maximum

Quality benchmarks

DeepSeek Coder V2 16B benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+81.1%
Aider Polyglot
LiveCodeBench24.3%

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: RTX 2060 6GB

Weights9.8 GB
KV Cache3.3 GB
Runtime1.2 GB
Headroom0.6 GB

Frequently asked questions

FAQ — DeepSeek Coder V2 16B

See also

Quantization GuideScoring MethodologyVRAM Calculator