📍 Part of the Local LLMs in 2026 guide
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 →