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text model · Llama 3.2 Vision · Windows

Can I run Llama 3.2 Vision 11B on Nvidia GeForce RTX 4070 (12GB)?

Compatibility verdict VRAM threshold engine
Yes, it runs GPU accelerated ~45 tok/s est.

Yes. Llama 3.2 Vision 11B runs on Nvidia GeForce RTX 4070 (12GB) at Q4_K_M (~9 GB of ~11 GB usable).

Needs ~9 GB Device usable ~11 GB

Runs at Q4_K_M using ~9 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 ~2 GB of headroom.

Q4_K_M needed
~9 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
~6.1 GB
Q3_K_M
~6.8 GB
Q4_K_M
~9 GB
Q5_K_M
~9.2 GB
Q6_K
~10.4 GB
Q8_0
~13.1 GB
FP16
~23 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
~$0.19
Pays for itself after
~1,932M tok

At ~$0.15/kWh and the estimated ~45 tok/s, a million generated tokens costs about $0.19 in electricity. Versus a hosted API at ~$0.5 per million tokens, the ~$599 Nvidia GeForce RTX 4070 (12GB) pays for itself after roughly 1,932 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 3 load the same Q4_K_M weights.

Ollama
$ ollama run llama3.2-vision:11b
llama.cpp
$ llama-cli -hf leafspark/Llama-3.2-11B-Vision-Instruct-GGUF:Q4_K_M
LM Studio
$ lms get leafspark/Llama-3.2-11B-Vision-Instruct-GGUF
Model Llama 3.2 Vision
Parameters
10.7B
Q4_K_M size
7.36 GB
Q8_0 size
11.49 GB
Context
128k
Ollama tag
llama3.2-vision:11b
Full Llama 3.2 Vision 11B 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 Llama 3.2 Vision 11B on other hardware

FAQ

Can Nvidia GeForce RTX 4070 (12GB) run Llama 3.2 Vision 11B?

Yes. Llama 3.2 Vision 11B runs on Nvidia GeForce RTX 4070 (12GB) at Q4_K_M (~9 GB of ~11 GB usable).

How much memory does Llama 3.2 Vision 11B need?

Nvidia GeForce RTX 4070 (12GB) has room to spare. At Q4_K_M the weights are ~7.36 GB; with KV cache and runtime overhead, budget ~9 GB at a 4k context.

What is the best tool to run Llama 3.2 Vision 11B 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.