Update README.md

README.md

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+
 ---
 language: en
 license: apache-2.0
+model_name: NanoDream-7B (GGUF)
+base_model: llava-hf/llava-1.5-7b-hf
 tags:
-- vision
-- gguf
-- multimodal
+  - vision
+  - gguf
+  - multimodal
+  - image-to-text
+  - q4_k_m
+  - quantized
+  - nano-dream
 pipeline_tag: image-text-to-text
+library_name: gguf
+inference: false
+model_creator: dill-dev
+quantized_by: dill-dev
 ---
-# 🎨 NanoDream-7B (LLaVA 1.5 7B GGUF)
-Optimized GGUF version of LLaVA 1.5 7B.
+
+# 🎨 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:
+
+```bash
+./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.
+
+---
+
+**Maintained and Published by:** dill-dev
+
+