← Can It Run? — GPU compatibility matrix · Local LLMs guide
Llama 3.2 3B needs 2.2 GB VRAM at Q4. The RTX 3060 12GB has 12 GB.
🦙 Llama 3.2 3B (Meta) is a 3B-parameter model for lightweight chat, on-device assistants, quick tasks. Surprisingly capable for its size; great on low-VRAM cards. The question is whether the RTX 3060 12GB’s 12 GB of VRAM can hold it — here’s the exact math.
VRAM requirements
| Quantization | VRAM needed | RTX 3060 12GB |
|---|---|---|
| Q4_K_M (recommended) | 2.2 GB | ✅ |
| Q8_0 (near-lossless) | 3.4 GB | ✅ |
Expected performance
Running Llama 3.2 3B at Q4 on the RTX 3060 12GB, expect roughly ~40 tokens/sec in Ollama or llama.cpp — comfortably faster than reading speed, so chat feels responsive.
Headroom: 2.2 GB used of 12 GB leaves about 9.8 GB free for KV cache (context). That’s fine for 4-8K context; for 32K+ you may need a smaller batch or a lower quant.
About the RTX 3060 12GB
Architecture: Ampere · VRAM: 12 GB · Price: ~$300.
Good: 12GB VRAM at a budget price — the classic entry LLM card
Watch out: Older Ampere architecture, slower than Ada-gen cards
Check current RTX 3060 12GB price on Amazon →
Related checks
Other models on the RTX 3060 12GB
🎯 LLM Hardware Checker
Enter your exact GPU + RAM, see every model you can run.
💾 VRAM Requirements
Exact VRAM per model at Q4/Q5/Q8/FP16 with context scaling.
Frequently asked questions
Can the RTX 3060 12GB run Llama 3.2 3B?
Yes — runs at Q4 and full Q8 quality. Llama 3.2 3B needs 2.2 GB VRAM at Q4_K_M; the RTX 3060 12GB has 12 GB.
How much VRAM does Llama 3.2 3B need?
Llama 3.2 3B needs about 2.2 GB at Q4_K_M (recommended) and 3.4 GB at Q8_0.
How many tokens per second will the RTX 3060 12GB get on Llama 3.2 3B?
Roughly ~40 tokens/sec at Q4 in Ollama or llama.cpp.