A popular used GPU at $150–200. 8 GB VRAM is tight but sufficient for 7–8B models at Q4. Good bandwidth for the price. Upgrade path: RTX 3090 for 3× the VRAM.
| VRAM | 8 GB |
| Memory Bandwidth | 448 GB/s |
| TDP | 220 W |
| Architecture | Ampere GA104 |
| Release Year | 2020 |
| MSRP at Launch | $499 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | ~52 tokens/sec |
All models below run comfortably in 8 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 | 5 GB VRAM · Q4_K_M · ollama run qwen2.5:7b |
| Gemma 2 Family | 8 GB VRAM · Q4_K_M · ollama run gemma2 |
| Phi-4 Mini | 2 GB VRAM · Q4_K_M · ollama run phi4-mini |
| Mistral Family | mistral |
| SmolLM2 | 1 GB VRAM · Q4_K_M · ollama run smollm2:1.7b |
Install Ollama then run the recommended model for this GPU:
ollama run llama3.1:8b
Yes — the NVIDIA GeForce RTX 3070 has 8 GB VRAM and runs A popular used GPU at $150–200. 8 GB VRAM is tight but sufficient for 7–8B models at Q4. Good bandwidth for the price. U
The NVIDIA GeForce RTX 3070 runs Llama 3.1 8B at ~52 tokens/sec with Q4_K_M quantization.
With 8 GB you can run: Llama 3.1 Family, Llama 3.2 Family, Qwen 2.5 Family, Gemma 2 Family, Phi-4 Mini. Use Ollama for the easiest setup: ollama run llama3.1:8b.
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