Can RTX 4060 Ti run Moondream 2?

Yes — runs locally

~114 tok/sec · Instant — feels like typing. No noticeable delay.

Your VRAM

8 GB

Model size

1.8B

Best quant

Q4_K_M

VRAM needed

1.5 GB

The verdict

The RTX 4060 Ti (8 GB VRAM) handles Moondream 2 comfortably using the Q4_K_M quantization, which fits in 1.5 GB. Expected throughput is around 114 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 4060 Ti

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

TL;DR

Moondream 2 runs at Grade S on an NVIDIA GeForce RTX 4060 Ti with Q4_K_M quantization, achieving ~290 tok/sec.

Prerequisites

Before starting, ensure you have at least 10GB of free disk space, a compatible operating system (Windows 10/11 or Linux), and the latest NVIDIA drivers (version 525.60.13 or later) installed along with CUDA 11.8.

Expected performance

With the recommended settings, you should expect Moondream 2 to run at approximately 290 tokens per second, using about 1.5GB of VRAM. This leaves 6.5GB of VRAM available for context, allowing for a practical context window of up to 2048 tokens, depending on the complexity of the images being processed.

1. Install runtimeOllama

pip install ollama
ollama init

2. Download the model

Download the Q4_K_M quantized version of Moondream 2, which is 1.0GB in size.

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 4060 Ti

For optimal performance on the NVIDIA GeForce RTX 4060 Ti with 8GB VRAM, use the --n-gpu-layers flag to offload layers to the GPU. Set --n-gpu-layers to 32 to balance performance and memory usage. Additionally, enable flash attention (--flash-attn) to further enhance speed. With these settings, you can achieve ~290 tok/sec while keeping VRAM usage around 1.5GB, leaving 6.5GB for context and other tasks.

Troubleshooting

Out of memory errors during inference

Reduce the number of GPU layers by setting --n-gpu-layers to a lower value, such as 16.

Slow token generation

Ensure that flash attention is enabled with --flash-attn. If still slow, try reducing the batch size.

Model fails to load

Verify that the model file is downloaded correctly and that the Ollama runtime is properly installed. Try reinstalling Ollama or redownloading the model file.

Alternative runtimes

Alternative runtimes like LM Studio, llama.cpp, and Jan can also run Moondream 2. LM Studio is ideal for a more user-friendly interface, llama.cpp offers fine-grained control over optimizations, and Jan is suitable for lightweight, low-resource environments. Choose based on your specific needs and preferences.

Full Moondream 2 details →

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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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