← Can It Run? — GPU compatibility matrix · Local LLMs guide
Llama 3.2 3B needs 2.2 GB VRAM at Q4. The RTX 4070 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 4070 12GB’s 12 GB of VRAM can hold it — here’s the exact math.
VRAM requirements
| Quantization | VRAM needed | RTX 4070 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 4070 12GB, expect roughly ~56 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 4070 12GB
Architecture: Ada · VRAM: 12 GB · Price: ~$550.
Good: Efficient, quiet, good speed for 7-14B models
Watch out: 12GB ceiling — no headroom for 27B+ at usable quant
Check current RTX 4070 12GB price on Amazon →
Related checks
Other models on the RTX 4070 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 4070 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 4070 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 4070 12GB get on Llama 3.2 3B?
Roughly ~56 tokens/sec at Q4 in Ollama or llama.cpp.
About the speed figure. The tokens/sec number above is an estimate, not a measured benchmark. Real throughput depends on your runtime and backend (Ollama, llama.cpp, vLLM), the exact quantization you download, context length, memory bandwidth, and whether any layers are offloaded to CPU. Treat it as a rough guide to the tier of performance, not a promised result.