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Can the RTX 4070 12GB Run Qwen 2.5 72B? (❌ 41GB VRAM Needed, 2026)

Can the RTX 4070 12GB run Qwen 2.5 72B locally? No — not enough VRAM without CPU offloading. VRAM requirements, expected tokens/sec, the right quantization, and the cheapest GPU that fits if it doesn’t.

← Can It Run? — GPU compatibility matrix · Local LLMs guide

❌ No — not enough VRAM without CPU offloading
Qwen 2.5 72B needs 41 GB VRAM at Q4. The RTX 4070 12GB has 12 GB.

🌐 Qwen 2.5 72B (Alibaba) is a 72B-parameter model for top-tier reasoning, code, and multilingual work. Flagship open model, competitive with the best 70B-class LLMs. The question is whether the RTX 4070 12GB’s 12 GB of VRAM can hold it — here’s the exact math.

VRAM requirements

QuantizationVRAM neededRTX 4070 12GB
Q4_K_M (recommended)41 GB
Q8_0 (near-lossless)74 GB

Why it won’t fit (and what to do)

Qwen 2.5 72B needs 41 GB at Q4 but the RTX 4070 12GB has only 12 GB — you’re 29 GB short. You can offload layers to system RAM, but expect single-digit tokens/sec (painfully slow for chat).

💡 Cheapest GPU that runs Qwen 2.5 72B: the Mac Studio M4 Max 128GB (128 GB, ~$3,500). Check price on Amazon →

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

Qwen 2.5 72B on other GPUs

🎯 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 Qwen 2.5 72B?

No — not enough VRAM without CPU offloading. Qwen 2.5 72B needs 41 GB VRAM at Q4_K_M; the RTX 4070 12GB has 12 GB.

How much VRAM does Qwen 2.5 72B need?

Qwen 2.5 72B needs about 41 GB at Q4_K_M (recommended) and 74 GB at Q8_0.

How many tokens per second will the RTX 4070 12GB get on Qwen 2.5 72B?

It won't fit in VRAM; with CPU offloading expect very slow single-digit tokens/sec.

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.

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