🎨 NanoDream-7B (GGUF)

NanoDream-7B is a high-performance, next-generation multimodal model optimized for efficiency, speed, and advanced image reasoning. This model brings professional-grade Vision-Language capabilities to consumer-grade hardware, laptops, and mobile devices using the GGUF format.

🚀 Key Highlights

• Optimized Architecture: Fine-tuned for high-speed multi-modal reasoning.
• Quantization: Q4_K_M (The industry standard for balancing quality and performance).
• Low Resource Usage: Runs comfortably on devices with 8GB RAM or less.
• Unified Interface: Perfect for real-time image description, object detection, and visual QA.

🛠️ Quantization Details

This model was quantized using llama.cpp to provide a seamless experience on local hardware.

• Method: Q4_K_M (4-bit quantization with medium-sized K-quants)
• Format: GGUF (Compatible with llama.cpp, LM Studio, and more)
• Model Size: Approx. 4.08 GB

💻 How to Use

1. Using llama.cpp (Command Line)

To interact with NanoDream-7B via terminal, use the following command:

./llama-cli \
  -m NanoDream-7B-Q4_K_M.gguf \
  --mmproj NanoDream-7B-mmproj-f16.gguf \
  --image input_sample.jpg \
  -p "Describe this image accurately."

2. Prompt Template

For best results, use the standard interaction format:

USER: <image>\n<prompt>\nASSISTANT:

📊 Hardware Requirements

Resource	Minimum	Recommended
System RAM	6 GB	8 GB+
VRAM (GPU)	4 GB	6 GB+
Disk Space	4.5 GB	5 GB

🛡️ Disclaimer

NanoDream-7B is a powerful tool for visual understanding. However, users should verify critical information generated by the model. It is not intended for use in high-risk medical, legal, or safety-critical applications.

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Maintained and Published by: dill-dev