Can RTX 4090 run Moondream 2?

Yes — runs locally

~192 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 4090 (24 GB VRAM) handles Moondream 2 comfortably using the Q4_K_M quantization, which fits in 1.5 GB. Expected throughput is around 192 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 4090

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

TL;DR

Moondream 2 runs at Grade S on an NVIDIA GeForce RTX 4090 with 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) with CUDA 11.8 installed.

Expected performance

With the recommended settings, you can expect Moondream 2 to achieve ~870 tok/sec, using approximately 1.5GB of VRAM. This leaves 22.5GB of VRAM available for context, allowing you to process large images and maintain a wide context window.

1. Install runtimeOllama

pip install ollama
ollama init

2. Download the model

Download the Q4_K_M quantized version of Moondream 2 (1.0GB file) from Hugging Face.

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

3. Run it

ollama run moondream2-20250414-Q4_K_M.gguf
ollama chat --model moondream2-20250414-Q4_K_M.gguf

4. Optimize for RTX 4090

For optimal performance on the NVIDIA GeForce RTX 4090 with 24GB VRAM, set --n-gpu-layers to 1024 to fully utilize the GPU. Enable flash attention (--flash-attn) to speed up inference. With 22.5GB of VRAM remaining after loading the model, you can comfortably handle large context windows, up to the maximum context length of 2048 tokens.

Troubleshooting

Out of memory error during inference

Reduce the number of GPU layers (--n-gpu-layers) or decrease the context length to fit within the available VRAM.

Slow inference speed

Ensure that flash attention (--flash-attn) is enabled and that the latest NVIDIA drivers and CUDA are installed.

Model fails to load

Verify that the model file is correctly downloaded and not corrupted. Try re-downloading the model using the 'ollama pull' command.

Alternative runtimes

Alternative runtimes include LM Studio, llama.cpp, and Jan. LM Studio is ideal for users who prefer a graphical interface. llama.cpp offers more fine-grained control over model parameters and is suitable for advanced users. Jan is a lightweight runtime that can be used for quick prototyping. For the NVIDIA GeForce RTX 4090, Ollama provides a balanced combination of ease of use and performance.

Full Moondream 2 details →

Other models that run great on RTX 4090

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.

Want personalized recommendations for your exact setup? Detect my hardware →