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text model · Qwen2.5-VL · Windows

Can I run Qwen2.5-VL 7B on Nvidia GeForce RTX 4070 (12GB)?

Compatibility verdict VRAM threshold engine
Yes, it runs GPU accelerated ~58 tok/s est.

Yes. Qwen2.5-VL 7B runs on Nvidia GeForce RTX 4070 (12GB) at Q4_K_M (~7.1 GB of ~11 GB usable).

Needs ~7.1 GB Device usable ~11 GB

Runs at Q4_K_M using ~7.1 GB of ~11 GB usable.

That figure is at a 4k context and moves about ±15% as context length changes. Nvidia GeForce RTX 4070 (12GB) leaves ~3.9 GB of headroom.

Q4_K_M needed
~7.1 GB
Usable on device
~11 GB
Device memory
12 GB
Best quant
Q4_K_M
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Which quant fits

Quant ladder vs ~11 GB usable
Q2_K
~5 GB
Q3_K_M
~5.6 GB
Q4_K_M
~7.1 GB
Q5_K_M
~7.4 GB
Q6_K
~8.3 GB
Q8_0
~11.1 GB
FP16
~18.1 GB
The line marks Nvidia GeForce RTX 4070 (12GB)'s ~11 GB budget; rungs past it are too large.

Running cost · estimate

Power & economics est.
Power draw
~200 W
Electricity / 1M tokens
~$0.14
Pays for itself after
~1,664M tok

At ~$0.15/kWh and the estimated ~58 tok/s, a million generated tokens costs about $0.14 in electricity. Versus a hosted API at ~$0.5 per million tokens, the ~$599 Nvidia GeForce RTX 4070 (12GB) pays for itself after roughly 1,664 million tokens, so local hardware is mostly a fixed cost, not a per-token one. TDP is the peak draw, so this is an upper bound. Assumptions.

Run it

Install commands Windows

Pick your tool. All 2 load the same Q4_K_M weights.

llama.cpp
$ llama-cli -hf ggml-org/Qwen2.5-VL-7B-Instruct-GGUF:Q4_K_M
LM Studio
$ lms get ggml-org/Qwen2.5-VL-7B-Instruct-GGUF

How to run it

On Windows use LM Studio (Best GUI on Windows, auto-detects CUDA/Vulkan backends.).

Model Qwen2.5-VL
Parameters
8.29B
Q4_K_M size
5.62 GB
Q8_0 size
9.6 GB
Context
32k
Full Qwen2.5-VL 7B requirements →
Device Windows
Memory
12 GB vram
Usable for weights
~11 GB
Power draw
~200 W
Best runtime
Ollama (CUDA) / vLLM (Linux)
Best models for Nvidia GeForce RTX 4070 (12GB) →

You could also run

Run Qwen2.5-VL 7B on other hardware

FAQ

Can Nvidia GeForce RTX 4070 (12GB) run Qwen2.5-VL 7B?

Yes. Qwen2.5-VL 7B runs on Nvidia GeForce RTX 4070 (12GB) at Q4_K_M (~7.1 GB of ~11 GB usable).

How much memory does Qwen2.5-VL 7B need?

Nvidia GeForce RTX 4070 (12GB) has room to spare. At Q4_K_M the weights are ~5.62 GB; with KV cache and runtime overhead, budget ~7.1 GB at a 4k context.

What is the best tool to run Qwen2.5-VL 7B on Windows?

LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.

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Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.