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Local AI

Can RTX 3060 12GB Run DeepSeek Coder V2 33B? (Tested, 19.5GB VRAM Needed)

Can the RTX 3060 12GB run DeepSeek Coder V2 33B locally? No — not enough VRAM without CPU offloading. See VRAM requirements, performance estimates, and the best quantization level for your setup.

📍 Part of the Local LLMs in 2026 guide

❌ No — not enough VRAM without CPU offloading
DeepSeek Coder V2 33B needs 19.5 GB VRAM at Q4. The RTX 3060 12GB has 12 GB.

DeepSeek Coder V2 33B (DeepSeek) is a 33B parameter model used for Code generation and analysis. Top-tier code model, competitive with GPT-4 for programming.

VRAM Requirements

Quantization VRAM Needed RTX 3060 12GB
Q4_K_M (recommended)19.5 GB
Q8_0 (high quality)34 GB

Why It Won’t Fit

DeepSeek Coder V2 33B needs 19.5 GB VRAM at Q4 quantization, but the RTX 3060 12GB only has 12 GB. You’re 7.5 GB short.

Options: You can run it with CPU offloading (expect ~12 tok/s — very slow), or upgrade to a GPU with 19.5+ GB VRAM.

About the RTX 3060 12GB

Pros: 12GB VRAM at budget price, runs most 7-8B models comfortably

Cons: Older architecture, slower than Ada-gen cards

Price: ~$300 — Check current price on Amazon →

Try It Yourself

🎯 LLM Hardware Checker

Select your exact GPU + RAM and see ALL models you can run.

💾 VRAM Calculator

Pick any model, see exact VRAM at Q4/Q5/Q8/FP16 with context scaling.