NVIDIA GeForce RTX 5070 — Local LLM Performance & Compatibility

12 GB VRAM at high bandwidth (672 GB/s) thanks to Blackwell. Comfortably handles 7–8B models with large context windows. The mainstream successor to the RTX 4070 Super.

Technical Specifications

VRAM12 GB
Memory Bandwidth672 GB/s
TDP250 W
ArchitectureBlackwell GB205
Release Year2025
MSRP at Launch$549
Inference Speed (Llama 3.1 8B Q4_K_M)~103 tokens/sec

LLMs Compatible with 12 GB VRAM

All models below run comfortably in 12 GB VRAM with Q4_K_M quantization.

Llama 3.1 Family6 GB VRAM · Q4_K_M · ollama run llama3.1
Llama 3.2 Family8 GB VRAM · Q4_K_M · ollama run llama3.2-vision:11b
Qwen 2.5 Family10 GB VRAM · Q4_K_M · ollama run qwen2.5:14b
Qwen 310 GB VRAM · Q4_K_M · ollama run qwen3:14b
Gemma 38 GB VRAM · Q4_K_M · ollama run gemma3:12b
Phi-4 Mini2 GB VRAM · Q4_K_M · ollama run phi4-mini
Mistral Family10 GB VRAM · Q4_K_M · ollama run mistral-nemo
DeepSeek R110 GB VRAM · Q4_K_M · ollama run deepseek-r1:14b

Best Use Cases

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run llama3.1:8b

FAQ

Can the NVIDIA GeForce RTX 5070 run local LLMs?

Yes — the NVIDIA GeForce RTX 5070 has 12 GB VRAM and runs 12 GB VRAM at high bandwidth (672 GB/s) thanks to Blackwell. Comfortably handles 7–8B models with large context windows.

How fast is the NVIDIA GeForce RTX 5070 for AI inference?

The NVIDIA GeForce RTX 5070 runs Llama 3.1 8B at ~103 tokens/sec with Q4_K_M quantization.

What LLMs can I run on 12 GB VRAM?

With 12 GB you can run: Llama 3.1 Family, Llama 3.2 Family, Qwen 2.5 Family, Qwen 3, Gemma 3. Use Ollama for the easiest setup: ollama run llama3.1:8b.

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Can I Run These Models on the NVIDIA GeForce RTX 5070?

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