Can RTX 3090 run Moondream 2?

Yes — runs locally

~132 tok/sec · Instant — feels like typing. No noticeable delay.

Your VRAM

24 GB

Model size

1.8B

Best quant

Q4_K_M

VRAM needed

1.5 GB

The verdict

The RTX 3090 (24 GB VRAM) handles Moondream 2 comfortably using the Q4_K_M quantization, which fits in 1.5 GB. Expected throughput is around 132 tokens/second, which feels Instant — feels like typing. No noticeable delay. in interactive use. Ultra-compact vision model. Only 1GB. Answers questions about images.

Setup tutorial: Moondream 2 on RTX 3090

AI-generated, GPU-specific. Verified commands for your exact hardware.

TL;DR

Moondream 2 runs at Grade S on an NVIDIA GeForce RTX 3090 with the Q4_K_M quantization, achieving ~870 tok/sec.

Prerequisites

Before starting, ensure you have at least 2GB of free disk space, a compatible operating system (Windows or Linux), and the latest NVIDIA drivers (version 525.60.13 or later) installed along with CUDA 11.8.

Expected performance

With the specified configuration, you can expect Moondream 2 to achieve ~870 tok/sec with 1.5GB VRAM in use, leaving 22.5GB of VRAM available for context. This allows for a practical context window of up to 2048 tokens, making it suitable for handling complex multimodal tasks.

1. Install runtimeOllama

pip install ollama
ollama init

2. Download the model

Download the Q4_K_M quantized version of Moondream 2, which is a 1.0GB file.

ollama pull ggml-org/moondream2-20250414-GGUF:moondream2-20250414-Q4_K_M.gguf

3. Run it

ollama run moondream2-20250414-Q4_K_M.gguf --n-gpu-layers 2048 --flash-attn --tensor-parallelism 1

4. Optimize for RTX 3090

For optimal performance on the NVIDIA GeForce RTX 3090 with 24GB VRAM, set --n-gpu-layers to 2048 to fully utilize the GPU. Enable --flash-attn for faster attention computation and set --tensor-parallelism to 1 to avoid unnecessary overhead. This configuration ensures that the model runs efficiently within the 24GB VRAM limit.

Troubleshooting

Out of memory error during inference

Reduce the --n-gpu-layers value to 1024 or lower to decrease VRAM usage.

Slow inference speed

Ensure that --flash-attn is enabled and that your CUDA drivers are up to date.

Model fails to load

Verify that the model file was downloaded correctly and that the Ollama runtime is properly installed.

Alternative runtimes

Alternative runtimes include LM Studio, llama.cpp, and Jan. LM Studio is ideal for a more user-friendly interface, while llama.cpp offers more control over low-level optimizations. Jan is a lightweight option for quick prototyping. Choose based on your specific needs and preferences, but Ollama provides a balanced approach for most users on the RTX 3090.

Full Moondream 2 details →

Other models that run great on RTX 3090

FAQ (20)

What GPU do I need to run Moondream 2?

To run Moondream 2, you need a GPU with at least 1.5 GB of VRAM. The model is optimized for low VRAM usage, making it suitable for older or budget GPUs.

Is Moondream 2 good for coding?

Moondream 2 is primarily designed for multimodal tasks, such as answering questions about images. It is not optimized for coding tasks, which typically require specialized language models.

Moondream 2 vs Llama 3.1 8B?

Moondream 2 has 1.8 billion parameters and is optimized for multimodal tasks, while Llama 3.1 8B is a larger language model with 8 billion parameters, better suited for text-only tasks. Moondream 2 requires less VRAM and is more compact.

Can I run Moondream 2 on a Mac?

Yes, Moondream 2 can be run on a Mac with a compatible GPU. Ensure your Mac has at least 1.5 GB of VRAM to handle the model efficiently.

How much VRAM does Moondream 2 need?

Moondream 2 requires 1.5 GB of VRAM, regardless of quantization. This makes it suitable for systems with limited GPU resources.

Is Moondream 2 censored?

Moondream 2 is not inherently censored. However, the model adheres to the Apache-2.0 license, which may include guidelines for responsible use.

Is Moondream 2 commercial-use allowed?

Yes, Moondream 2 is licensed under the Apache-2.0 license, which allows for commercial use without restrictions.

Moondream 2 context length?

Moondream 2 has a context length of 2048 tokens, allowing it to process longer sequences of text and image data.

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