CelesteImperia
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profile

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-license: mit
-organization_profile: true
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-# 🏛️ Celeste Imperia | High-Efficiency AI Weights
-**The official repository for local-first, hardware-optimized AI models.** ⚡
-This organization is dedicated to making advanced AI accessible on consumer hardware. We specialize in porting heavy encoders and LLMs to run on **NPUs** and **ARM** architectures.
-### 📦 What you’ll find here:
-* **NPU-Optimized Encoders:** CLIP and T5 variants converted for **Intel OpenVINO** and **Qualcomm AI Stack**.
-* **Consistent Character LoRAs:** High-fidelity character models trained for perfect persistence across frames.
-* **Edge-Ready LLMs:** Quantized and ported models specifically tuned for local CPU/NPU inference.
-### 🛠️ Hardware Focus
-Our models are tested and optimized on local rigs (RTX A4000) to ensure they work for creators, not just data centers.
 ---
-📫 **Inquiries:** [celesteimperia@gmail.com](mailto:celesteimperia@gmail.com)
-"Forging the future of Edge AI, one model at a time."

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+title: Celeste Imperia | Hardware-Aware AI Forge
+emoji: 🌌
+colorFrom: blue
+colorTo: purple
+sdk: static
+pinned: true
+thumbnail: >-
+  https://cdn-uploads.huggingface.co/production/uploads/697f74cb005a67fc114da2b4/OCwnTMS-RIt9cPQR0Gnxf.png
+license: apache-2.0
+tags:
+- edge-ai
+- qnn
+- quantization
+- openvino
+- windows-on-arm
 ---
+# Celeste Imperia | Hardware-Aware AI Forge
+**Bridging the gap between frontier AI architectures and consumer silicon.**
+Celeste Imperia specializes in the precision optimization of LLMs, VLMs, and Diffusion architectures. We provide hardware-validated weights optimized for private, zero-latency execution across Qualcomm, Intel, and NVIDIA ecosystems.
+---
+## 🏗️ The Development Forge: Workstation V2.0
+All models are forged on a specialized dual-GPU pipeline to ensure stability across both "Masses-Ready" and "Professional" hardware.
+| Component | **Legacy Validation Rig** | **Current AI Workstation** |
+| :--- | :--- | :--- |
+| **Processor** | Intel Core i5-11400 | Intel Core i5-11400 (6C/12T) |
+| **Primary GPU** | NVIDIA RTX A4000 (16GB) | **NVIDIA RTX 3090 (24GB GDDR6X)** |
+| **Secondary GPU** | - | **NVIDIA RTX A4000 (16GB GDDR6)** |
+| **Memory** | 16GB RAM | **64GB DDR4 RAM** |
+| **Storage** | Standard SSD | **High-Speed NVMe, and HDD Storage Pool** |
+---
+## 📂 Active Repositories
+### 🐉 Snapdragon & Mobile NPU (QNN Native)
+* **[SDXL-QNN](https://huggingface.co/CelesteImperia/SDXL-QNN)** - Optimized for Qualcomm Hexagon NPU. Includes Python and C# automation tools.
+### 🧠 Domain-Specific Reasoning
+* **[Llama-3-Indian-Finance](https://huggingface.co/CelesteImperia/Llama-3-8B-Indian-Finance-Quant-v2.0-RELEASE)** - Specialized reasoning for Indian financial and regulatory sectors.
+### 🎨 Cross-Platform Optimization (OpenVINO / GGUF)
+* **[SDXL-OpenVINO-Trinity](https://huggingface.co/CelesteImperia/celeste-imperia-sdxl-openvino)** - 4-step generation for Intel i5/i7.
+* **[Whisper-Large-V3-Turbo](https://huggingface.co/CelesteImperia/whisper-large-v3-turbo-openvino)** - High-speed speech-to-text.
+* **[Qwen2-VL-2B-INT4](https://huggingface.co/CelesteImperia/Qwen2-VL-2B-Instruct-OpenVINO-INT4)** - Vision-language reasoning.
+* **[Llama-3.2-1B-GGUF](https://huggingface.co/CelesteImperia/Llama-3.2-1B-Instruct-GGUF)** / **[Phi-3.5-GGUF](https://huggingface.co/CelesteImperia/Phi-3.5-mini-instruct-GGUF)** - Mobile-ready LLMs.
 ---
+### ☕ Support the Forge
+Maintaining a dual-GPU AI workstation and hosting high-bandwidth models requires significant resources. If our open-source tools power your projects, consider supporting our development:
+| Platform | Support Link |
+| :--- | :--- |
+| **Global & India** | [Support via Razorpay](https://razorpay.me/@huggingface) |
+**Scan to support via UPI (India Only):**
+<img src="https://huggingface.co/datasets/CelesteImperia/Assets/resolve/main/QrCode.jpeg" width="200">
+---
+**Connect with the architect:** [Abhishek Jaiswal on LinkedIn](https://www.linkedin.com/in/abhishek-jaiswal-524056a/)