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--- |
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pipeline_tag: image-text-to-text |
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base_model: google/gemma-3-4b-it |
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license: apache-2.0 |
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--- |
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# DarkIdel-Star-1.0 |
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### Model Description |
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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. |
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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. |
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### Model Files |
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This repository contains two essential GGUF files to enable the full multi-modal capabilities of DarkIdel-Star-1.0: |
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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. |
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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. |
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### Key Features |
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* **4B Parameter Efficiency:** A compact yet powerful model, optimized for fast inference and low resource consumption on consumer-grade hardware. |
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* **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. |
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* **GGUF Format:** Ready for efficient local deployment using tools like `llama.cpp` (specifically its multi-modal features), making high-performance AI accessible. |
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* **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. |
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### Intended Use Cases |
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DarkIdel-Star-1.0 is ideally suited for applications requiring deeply personalized content generation, especially where user visual data can inform the output. |
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* **Personalized AI Companion/Advisor:** Powering virtual assistants that offer tailored advice |
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* **Roleplay** |
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* **Interactive Storytelling:** Generating adaptive narratives based on user text prompts and visual cues from images. |
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* **Multi-modal Content Creation:** Assisting in the creation of highly specific and rich textual content informed by both textual and visual inputs. |
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* **Research & Development:** Serving as a base for further experimentation and fine-tuning in multi-modal AI on efficient hardware. |
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### How to Use (Basic Multi-modal GGUF Loading) |
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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. |
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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. |
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2. **Load with `llama.cpp` (Multi-modal command example):** |
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```bash |
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# Ensure you have llama.cpp compiled with multi-modal support (e.g., LLaVA/VILA/Bakllava compatible build) |
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./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" |
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``` |
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*(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.)* |
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### Limitations and Bias |
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Like all large language models, DarkIdel-Star-1.0 may: |
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* Generate content that is not always factual or accurate. |
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* Reflect biases present in its training data. |
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* Produce unintended or harmful outputs if prompted inappropriately. |
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* Its multi-modal capabilities are for interpretive and generative purposes and **should not be used for medical, legal, identity verification, security, or other critical decision-making.** Interpretations of visual data (e.g., "face reading") are for entertainment and personalized insight only, and **do not constitute professional advice or accurate prediction.** |
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**Responsible use is paramount.** We encourage developers to implement robust moderation and safety measures when deploying applications powered by this model. |
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### License |
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DarkIdel-Star-1.0 is released under the **Apache License 2.0**. |
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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. |
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### Attribution |
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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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--- |
