32 GB VRAM · Q4 native Amazon
RTX 5090
Pros
- Runs DeepSeek Coder V2 at Q4 natively
- 32 GB VRAM — adequate headroom
Local Engine Ready
DeepSeek Coder V2
29 consumer GPUs can run DeepSeek Coder V2 at Q4 natively. Precise VRAM thresholds and benchmarks below.
29 Compatible GPUs
11 with offloading
16B params
131K context
Top pick
RTX 5090 · 32 GB VRAM runs Q4 natively
Prices and availability may change · affiliate link
Javier Morales AI hardware specialist — 8 years of experience
GitHub: github.com/javier-morales-ia
llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
Execution Context
ARCHITECTURE TRANSFORMER
CONTEXT 131K TOKENS
QUANTIZATION 4-BIT GGUF
PROVIDER DeepSeek
LICENSE DeepSeek
VRAM REQUIREMENT
9 GB
4GB 8GB 12GB 16GB 24GB+
Hardware Decision
This model requires aMid-range GPU (16 GB VRAM)
Compatible GPUs for DeepSeek Coder V2
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
24 GB VRAM · Q4 native Amazon
RTX 4090
Pros
- Runs DeepSeek Coder V2 at Q4 natively
- 24 GB VRAM — adequate headroom
128 GB VRAM · Q4 native Amazon
M4 Ultra
Pros
- Runs DeepSeek Coder V2 at Q4 natively
- 128 GB VRAM — adequate headroom
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How to run this model
Check if your GPU can run DeepSeek Coder V2 →
VRAM Calculator — instant compatibility check
RTX 5090
32 GB · Runs Q4 natively · Check availability
*Prices and availability may change. Some links are affiliate links.
System Requirements
GPU VRAM 9 GB Mid-range GPU
System RAM 16 GB
DDR4/DDR5
Storage 9 GB Q4 · SSD recommended
CPU Any modern CPU GPU required
VRAM by Quantization
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 32 GB | 32 GB | Maximum |
| Q8 (high quality) | 16 GB | 16 GB | Near-lossless |
| Q4 (recommended) Best balance | 9 GB | 9 GB | Recommended |
| Q2 (minimum) | 5 GB | 5 GB | Quality loss |
Model Details
| Developer | DeepSeek |
| Parameters | 16B |
| Context window | 131,072 tokens |
| License | DeepSeek |
| Use cases | coding, chat, reasoning |
| Released | 2024-06 |
Install with Ollama
ollama run deepseek-coder-v2:16b Hugging Face
deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct Technical Requirements
Can your GPU run DeepSeek Coder V2?
DeepSeek Coder V2 requires <strong class="text-primary-container">9 GB VRAM</strong> at Q4. 29 consumer GPUs meet this threshold. Below 8 GB or 7 GB you'll hit significant offload latency.
5GB Critical min
9GB Optimal Q4
16GB High Quality Q8
32GB Max FP16
Hardware Performance Matrix
29 Q4 native · 11 offload
Recommended GPUs for DeepSeek Coder V2
Real Benchmarks
No Paid Reviews
Editorial Pick
Data-driven
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
Q4 native
Check availability →
RTX 4090
24 GB VRAM
Q4 native
Check availability →
M4 Ultra
128 GB VRAM
Q4 native
Check availability →
Some links are Amazon affiliate links. We may earn a commission at no extra cost to you. Amazon cookies may last up to 24 hours after your click.
DeepSeek Coder V2 — Compatibility guide
DeepSeek Coder V2 needs intermediate hardware or Q4 quantization to run on consumer GPUs. With 10 GB VRAM you get the best quality. Use the VRAM calculator to see which quantization your GPU supports.
Compare GPUs for DeepSeek Coder V2
Which GPU is worth it? Real specs and benchmarks side by side.
Compatible Hardware
GPUs that run DeepSeek Coder V2 at Q4 — sorted by AI performance score.
Real Benchmarks
No Paid Reviews
Data-driven
Some links are Amazon affiliate links. We may earn a commission at no extra cost to you. Amazon cookies may last up to 24 hours after your click.
More Practical Alternatives
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Compare This Model
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Not sure which GPU you need for DeepSeek Coder V2?
The VRAM Calculator tells you exactly which quantization your hardware can handle.
RTX 5090
Check availability
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