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text model · MiniCPM · Windows

Can I run MiniCPM-V 4.6 on Nvidia GeForce RTX 4070 (12GB)?

Compatibility verdict VRAM threshold engine
Yes, it runs GPU accelerated ~618 tok/s est.

Yes. MiniCPM-V 4.6 runs on Nvidia GeForce RTX 4070 (12GB) at Q4_K_M (~1.6 GB of ~11 GB usable).

Needs ~1.6 GB Device usable ~11 GB

Runs at Q4_K_M using ~1.6 GB of ~11 GB usable. You have room for FP16 for higher quality.

That figure is at a 4k context and moves about ±15% as context length changes. Nvidia GeForce RTX 4070 (12GB) leaves ~9.4 GB of headroom, room to step up to FP16 for higher quality.

Q4_K_M needed
~1.6 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
~1.6 GB
Q3_K_M
~1.7 GB
Q4_K_M
~1.6 GB
Q5_K_M
~2 GB
Q6_K
~2.2 GB
Q8_0
~1.9 GB
FP16
~2.6 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
~$0.01
Pays for itself after
~1,222M tok

At ~$0.15/kWh and the estimated ~618 tok/s, a million generated tokens costs about $0.01 in electricity. Versus a hosted API at ~$0.5 per million tokens, the ~$599 Nvidia GeForce RTX 4070 (12GB) pays for itself after roughly 1,222 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 minicpm-v4.6
llama.cpp
$ llama-cli -hf openbmb/MiniCPM-V-4_6-gguf:Q4_K_M
LM Studio
$ lms get openbmb/MiniCPM-V-4_6-gguf
Model MiniCPM
Parameters
1.3B
Q4_K_M size
0.53 GB
Q8_0 size
0.81 GB
Context
256k
Ollama tag
minicpm-v4.6
Full MiniCPM-V 4.6 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 MiniCPM-V 4.6 on other hardware

FAQ

Can Nvidia GeForce RTX 4070 (12GB) run MiniCPM-V 4.6?

Yes. MiniCPM-V 4.6 runs on Nvidia GeForce RTX 4070 (12GB) at Q4_K_M (~1.6 GB of ~11 GB usable).

How much memory does MiniCPM-V 4.6 need?

Nvidia GeForce RTX 4070 (12GB) has room to spare. At Q4_K_M the weights are ~0.53 GB; with KV cache and runtime overhead, budget ~1.6 GB at a 4k context.

What is the best tool to run MiniCPM-V 4.6 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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MiniCPM-V 4.6 on Nvidia GeForce RTX 4070 (12GB) compatibility badge A live badge for your model card or README, updated as the data is.
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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.