12 GB VRAM handles 7–8B models well and some 13B models with aggressive Q4 quantization. Great everyday AI card.
| VRAM | 12 GB |
| Memory Bandwidth | 504 GB/s |
| TDP | 200 W |
| Architecture | Ada Lovelace AD104 |
| Release Year | 2023 |
| MSRP at Launch | $599 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | ~80 tokens/sec |
All models below run comfortably in 12 GB VRAM with Q4_K_M quantization.
| Llama 3.1 Family | 6 GB VRAM · Q4_K_M · ollama run llama3.1 |
| Llama 3.2 Family | 8 GB VRAM · Q4_K_M · ollama run llama3.2-vision:11b |
| Qwen 2.5 Family | 9 GB VRAM · Q4_K_M · ollama run qwen2.5:14b |
| Gemma 3 | 8 GB VRAM · Q4_K_M · ollama run gemma3:12b |
| Phi-4 Mini | 3 GB VRAM · Q4_K_M · ollama run phi4-mini |
| Mistral Family | 8 GB VRAM · Q4_K_M · ollama run mistral-nemo |
| SmolLM2 | 1 GB VRAM · Q4_K_M · ollama run smollm2:360m |
Install Ollama then run the recommended model for this GPU:
ollama run llama3.1:8b
Yes — the NVIDIA GeForce RTX 4070 has 12 GB VRAM and runs 12 GB VRAM handles 7–8B models well and some 13B models with aggressive Q4 quantization. Great everyday AI card.
The NVIDIA GeForce RTX 4070 runs Llama 3.1 8B at ~80 tokens/sec with Q4_K_M quantization.
With 12 GB you can run: Llama 3.1 Family, Llama 3.2 Family, Qwen 2.5 Family, Gemma 3, Phi-4 Mini. Use Ollama for the easiest setup: ollama run llama3.1:8b.
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