Update README.md

README.md

@@ -3,26 +3,26 @@ pipeline_tag: image-text-to-text
 base_model: google/gemma-3-4b-it
 license: apache-2.0
 ---
-# DarkIdol-Star-1.0
+# DarkIdel-Star-1.0
 
 ### Model Description
-DarkIdol-Star-1.0 is a cutting-edge 4-billion parameter (4B) **multi-modal** language model, meticulously converted to the highly efficient GGUF format for optimized local deployment. This model is designed to power sophisticated, personalized AI applications, offering a unique blend of linguistic prowess and advanced multi-modal understanding, particularly through its image recognition capabilities.
+DarkIdel-Star-1.0 is a cutting-edge 4-billion parameter (4B) **multi-modal** language model, meticulously converted to the highly efficient GGUF format for optimized local deployment. This model is designed to power sophisticated, personalized AI applications, offering a unique blend of linguistic prowess and advanced multi-modal understanding, particularly through its image recognition capabilities.
 
-At its core, DarkIdol-Star-1.0 is the backbone of our unique AI-driven "Good Luck Advisor" platform, specializing in generating deeply customized, empathetic, and multi-faceted reports for users. Its capabilities extend beyond mere text generation, incorporating robust image recognition to enable a new dimension of personalized insights.
+At its core, DarkIdel-Star-1.0 is the backbone of our unique AI-driven "Good Luck Advisor" platform, specializing in generating deeply customized, empathetic, and multi-faceted reports for users. Its capabilities extend beyond mere text generation, incorporating robust image recognition to enable a new dimension of personalized insights.
 
 ### Model Files
-This repository contains two essential GGUF files to enable the full multi-modal capabilities of DarkIdol-Star-1.0:
-1.  `DarkIdol-Star-1.0-4B-it-QAT-Q4_0.gguf`: The core 4B language model, instruction-tuned (it) and optimized for quantization (QAT) to 4-bit (`Q4_0`). This file handles the primary text generation and understanding.
+This repository contains two essential GGUF files to enable the full multi-modal capabilities of DarkIdel-Star-1.0:
+1.  `DarkIdel-Star-1.0-4B-it-QAT-Q4_0.gguf`: The core 4B language model, instruction-tuned (it) and optimized for quantization (QAT) to 4-bit (`Q4_0`). This file handles the primary text generation and understanding.
 2.  `mmproj-model-f16.gguf`: The multi-modal projector model, responsible for processing image inputs and projecting them into a format understood by the core language model. This enables the image recognition features.
 
 ### Key Features
 *   **4B Parameter Efficiency:** A compact yet powerful model, optimized for fast inference and low resource consumption on consumer-grade hardware.
-*   **Full Multi-modal Capability:** With both the core language model and the multi-modal projector, DarkIdol-Star-1.0 can process and reason with **both text and image inputs simultaneously**, enabling richer contextual understanding.
+*   **Full Multi-modal Capability:** With both the core language model and the multi-modal projector, DarkIdel-Star-1.0 can process and reason with **both text and image inputs simultaneously**, enabling richer contextual understanding.
 *   **GGUF Format:** Ready for efficient local deployment using tools like `llama.cpp` (specifically its multi-modal features), making high-performance AI accessible.
 *   **Optimized for Deep Personalization:** Fine-tuned and rigorously tested for generating extensive, highly nuanced, and contextually rich content, tailored to individual user preferences and inputs, often informed by visual cues.
 
 ### Intended Use Cases
-DarkIdol-Star-1.0 is ideally suited for applications requiring deeply personalized content generation, especially where user visual data can inform the output.
+DarkIdel-Star-1.0 is ideally suited for applications requiring deeply personalized content generation, especially where user visual data can inform the output.
 *   **Personalized AI Companion/Advisor:** Powering virtual assistants that offer tailored advice
 *   **Roleplay**
 *   **Interactive Storytelling:** Generating adaptive narratives based on user text prompts and visual cues from images.
@@ -30,18 +30,18 @@ DarkIdol-Star-1.0 is ideally suited for applications requiring deeply personaliz
 *   **Research & Development:** Serving as a base for further experimentation and fine-tuning in multi-modal AI on efficient hardware.
 
 ### How to Use (Basic Multi-modal GGUF Loading)
-To get started with DarkIdol-Star-1.0 (GGUF for multi-modal inference), you will typically need a compatible inference engine like `llama.cpp` (or its derivatives) that supports multi-modal GGUF loading.
+To get started with DarkIdel-Star-1.0 (GGUF for multi-modal inference), you will typically need a compatible inference engine like `llama.cpp` (or its derivatives) that supports multi-modal GGUF loading.
 
-1.  **Download the GGUF files:** Download both `DarkIdol-Star-1.0-4B-it-QAT-Q4_0.gguf` and `mmproj-model-f16.gguf` from the "Files" tab in this Hugging Face repository.
+1.  **Download the GGUF files:** Download both `DarkIdel-Star-1.0-4B-it-QAT-Q4_0.gguf` and `mmproj-model-f16.gguf` from the "Files" tab in this Hugging Face repository.
 2.  **Load with `llama.cpp` (Multi-modal command example):**
     ```bash
     # Ensure you have llama.cpp compiled with multi-modal support (e.g., LLaVA/VILA/Bakllava compatible build)
-    ./llava-cli -m DarkIdol-Star-1.0-4B-it-QAT-Q4_0.gguf -mmproj mmproj-model-f16.gguf -p "Your text prompt here, [img-1] your_image.jpg"
+    ./llava-cli -m DarkIdel-Star-1.0-4B-it-QAT-Q4_0.gguf -mmproj mmproj-model-f16.gguf -p "Your text prompt here, [img-1] your_image.jpg"
     ```
     *(Note: The exact command for multi-modal inference might vary based on your `llama.cpp` version and specific multi-modal model type. Refer to `llama.cpp`'s multi-modal examples for precise usage.)*
 
 ### Limitations and Bias
-Like all large language models, DarkIdol-Star-1.0 may:
+Like all large language models, DarkIdel-Star-1.0 may:
 *   Generate content that is not always factual or accurate.
 *   Reflect biases present in its training data.
 *   Produce unintended or harmful outputs if prompted inappropriately.
@@ -50,11 +50,11 @@ Like all large language models, DarkIdol-Star-1.0 may:
 **Responsible use is paramount.** We encourage developers to implement robust moderation and safety measures when deploying applications powered by this model.
 
 ### License
-DarkIdol-Star-1.0 is released under the **Apache License 2.0**.
+DarkIdel-Star-1.0 is released under the **Apache License 2.0**.
 
 You are free to use, modify, and distribute this model for free, including for commercial purposes, under the terms of the Apache License 2.0. A copy of the full license text is included in the `LICENSE` file within this repository.
 
 ### Attribution
-This DarkIdol-Star-1.0 model is a derivative work, specifically formatted, optimized (QAT), and composed (multi-modal projection) from **Google's Gemma 4B** model. We extend our gratitude to Google and the open-source community for their invaluable contributions to the advancement of AI.
+This DarkIdel-Star-1.0 model is a derivative work, specifically formatted, optimized (QAT), and composed (multi-modal projection) from **Google's Gemma 4B** model. We extend our gratitude to Google and the open-source community for their invaluable contributions to the advancement of AI.
 
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