Duplicate from Mr-J-369/Fancy-AI

Co-authored-by: Mr.J <Mr-J-369@users.noreply.huggingface.co>

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PRIVACY.md

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+# Privacy Policy — Fancy AI
+
+**Last updated: 11 September 2026**
+
+This Privacy Policy explains how the Fancy AI mobile application ("Fancy AI", "the app",
+"we") handles your information. Fancy AI is an AI‑companion application that runs primarily
+**on your device**. By using the app you agree to this policy.
+
+Fancy AI is strictly for **adults aged 18 or older (18+)**. Anyone under 18 is not permitted to use the app.
+
+---
+
+## 1. Summary
+
+- Your companions, conversations, memories, generated images, and settings are stored
+  **locally on your device**. We do not host an account system and we do not have a server
+  that receives your conversations.
+- Some features are **optional** and only run if **you** turn them on and supply your own
+  credentials (cloud AI text models, cloud image generation, and cloud voice transcription/
+  speech). When you use those, the relevant content is sent directly to the **third‑party
+  provider you chose**, under that provider's own privacy policy.
+- We do **not** collect analytics, tracking data, or crash reports.
+- We do **not** sell your personal data.
+
+---
+
+## 2. Information stored on your device
+
+The following are created and stored **only on your device** (in the app's private storage)
+and are not transmitted to us:
+
+- Characters/companions you create or import, and their personalities, memories, and
+  "dossier" data.
+- Your chat messages, voice‑call transcripts, social‑feed posts, and game sessions.
+- Images you generate or import, saved in the app's private media folder.
+- Your settings and preferences, including any API keys you enter (stored using Android
+  **EncryptedSharedPreferences**).
+
+Uninstalling the app removes this local data. You can also delete individual characters,
+chats, posts, and images from within the app.
+
+---
+
+## 3. Optional third‑party services you enable
+
+These are off by default and only operate when you explicitly enable them and provide your
+own account/API key. When enabled, data is sent **directly from your device to the provider
+you selected** — not to us:
+
+- **Cloud AI text models** (e.g., Google Gemini, OpenRouter, DeepInfra, or any
+  OpenAI‑compatible endpoint you configure): the text of your prompts and the relevant
+  conversation context is sent to that provider to generate a reply.
+- **Cloud image generation** (a server you configure, e.g. a self‑hosted endpoint): your
+  image prompt is sent to that endpoint.
+- **Cloud voice services** (e.g., OpenAI Whisper, ElevenLabs, or Gemini for
+  speech‑to‑text/text‑to‑speech): your recorded audio and/or message text is sent to that
+  provider to transcribe or synthesize speech.
+- **Model downloads:** if you configure an add‑on catalogue (e.g., a Hugging Face
+  repository), the app downloads model files from that URL.
+
+Each provider processes your data under its **own** privacy policy and terms. We do not
+control those services. If you prefer that nothing leave your device, use the app's
+**on‑device** mode, which performs all AI inference locally with no network transmission of
+your content.
+
+---
+
+## 4. Device permissions
+
+The app requests the following permissions, each used only for its stated purpose:
+
+- **Microphone (RECORD_AUDIO):** to capture your voice during voice calls with a companion.
+- **Camera:** to let you attach photos in chats/social posts.
+- **Photos/Media/Storage:** to import images you choose and to save generated images.
+- **Notifications (POST_NOTIFICATIONS):** to alert you when a companion posts and for the
+  background activity notification. You can decline or revoke this at any time.
+- **Internet:** required only for the optional cloud features and model downloads described
+  above.
+
+Audio, camera, and photo data are used for the requested action and are not uploaded to us.
+
+---
+
+## 5. Adults only (18+)
+
+Fancy AI is strictly for adults aged **18 or older**. The app is not directed to anyone
+under 18, and anyone under 18 is not permitted to use it. We do not knowingly collect
+personal data from anyone under 18.
+
+---
+
+## 6. Data retention and deletion
+
+Because your content lives on your device, you control it. To delete it: remove items inside
+the app, clear the app's storage in Android settings, or uninstall the app.
+
+---
+
+## 7. Security
+
+API keys you enter are stored using Android's encrypted preferences. No method of storage or
+transmission is 100% secure, and data sent to third‑party providers you enable is subject to
+their security practices.
+
+---
+
+## 8. Changes to this policy
+
+We may update this policy as the app evolves. Material changes will be reflected by updating
+the "Last updated" date above.
+
+---
+
+## 9. Contact
+
+For questions about this policy or your data, contact the developer at:
+
+- Email: fancyaios.contact@gmail.com

README.md

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+
+  ---                                                                                                                                                                                                               
+  license: other                                                                                                                                                                                                    
+  language:                                                                                                                                                                                                         
+    - en                                                                                                                                                                                                            
+  tags:                                                                                                                                                                                                             
+    - gguf                                                                                                                                                                                                          
+    - llama.cpp                                                                                                                                                                                                     
+    - android                                                                                                                                                                                                       
+    - fancy-ai                                                                                                                                                                                                      
+    - on-device                                                                                                                                                                                                     
+  pretty_name: Fancy AI — Add-on Catalog                                                                                                                                                                            
+  ---                                                                                                                                                                                                               
+                                                                                                                                                                                                                    
+  # Fancy AI — Add-on Catalog                                                                                                                                                                                       
+                                                                                                                                                                                                                    
+  Add-on catalog for the **Fancy AI** Android app — an on-device AI companion app powered by                                                                                                                        
+  `llama.cpp`. The app ships small and streams optional models on demand from this catalog.                                                                                                                         
+                                                                                                                                                                                                                    
+  - App & issues: https://github.com/Mr-J-369/Fancy-Ai                                                                                                                                                              
+  - This repo hosts **`manifest.json`** — the catalog the app reads. The model weights themselves                                                                                                                   
+    are **not re-hosted here**; the catalog links directly to the original creators' repos                                                                                                                          
+    (Qwen, bartowski), so downloads come straight from the source.                                                                                                                                                  
+                                                                                                                                                                                                                    
+  ## How to use it (in the app)                                                                                                                                                                                     
+                                                                                                                                                                                                                    
+  **Settings → On-Device Model → Browse Add-ons.** The app reads `manifest.json`, lists each                                                                                                                        
+  component, and lets you **download + activate** in one tap:                                                                                                                                                       
+                                                                                                                                                                                                                    
+  - `agent` → **Use as Root's brain** (the tiny model that handles background housekeeping).                                                                                                                        
+  - `chat` → **Use as chat model** (your main conversational model).                                                                                                                                                
+                                                                                                                                                                                                                    
+
+  ## Current catalog                                                                                                                                                                                                
+                                                                                                                                                                                                                    
+                                                                                                                            
+  │         Component         │ Type  │         Model          │  Size   │  License   │                                                                                                                             
+                                                                                                                           
+  │ Root Agent — Qwen2.5 1.5B │ agent │ Qwen2.5-1.5B-Instruct  │ 1.12 GB │ Apache-2.0 │                                                                                                                             
+                                                                                                                           
+  │ Chat — Llama 3.2 3B       │ chat  │ bartowski Llama-3.2-3B │ 2.02 GB │ Llama 3.2  │                                                                                                                             
+                                                                                                                            
+  │ Chat — Qwen2.5 3B         │ chat  │ Qwen2.5-3B-Instruct    │ 2.10 GB │ Qwen       │                                                                                                                             
+                                                                                                                            
+   
+  ## Manifest format                                                                                                                                                                                                
+                                                                                                                                                                                                                    
+  `manifest.json` is a single JSON file with a `components` array. Each component has:                                                                                                                              
+  `id`, `type` (`agent` | `chat` | …), `name`, `description`, `quant`, `minRamMb`, `url`                                                                                                                            
+  (a direct `…/resolve/main/<file>.gguf` link), `sizeBytes`, and `sha256`. Multi-file components                                                                                                                    
+  (e.g. a vision model + projector) use a `files` array instead of a single `url`.
+
+  ## Licenses                                                                                                                                                                                                       
+                                                                                                                                                                                                                    
+  Each model retains its **original license** (Apache-2.0 for Qwen 0.5B; the Llama 3.2 and Qwen                                                                                                                     
+  community licenses for the 3B models). Weights are downloaded directly from the creators' repos;                                                                                                                  
+  this repo only distributes the catalog metadata. See each linked model card for full terms.  
+    

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+{
+  "components": [
+    {
+      "id": "litert-gemma4-e2b",
+      "type": "litert",
+      "name": "Gemma 4 E2B — LiteRT GPU",
+      "description": "Google's Gemma 4 E2B on the LiteRT-LM engine — GPU-accelerated on-device chat, an alternative brain to llama.cpp. Needs a 6 GB+ phone. License: Gemma.",
+      "quant": "int4",
+      "minRamMb": 6000,
+      "url": "https://huggingface.co/litert-community/gemma-4-E2B-it-litert-lm/resolve/main/gemma-4-E2B-it.litertlm",
+      "sizeBytes": 2588147712,
+      "sha256": "181938105e0eefd105961417e8da75903eacda102c4fce9ce90f50b97139a63c"
+    },
+    {
+      "id": "litert-gemma4-e4b",
+      "type": "litert",
+      "name": "Gemma 4 E4B — LiteRT GPU",
+      "description": "Google's Gemma 4 E4B on the LiteRT-LM engine — GPU-accelerated on-device chat, higher quality than E2B. Needs an 8 GB+ phone. License: Gemma.",
+      "quant": "int4",
+      "minRamMb": 8000,
+      "url": "https://huggingface.co/litert-community/gemma-4-E4B-it-litert-lm/resolve/main/gemma-4-E4B-it.litertlm",
+      "sizeBytes": 3659530240,
+      "sha256": "0b2a8980ce155fd97673d8e820b4d29d9c7d99b8fa6806f425d969b145bd52e0"
+    },
+    {
+      "id": "gguf-gemma4-e4b",
+      "type": "chat",
+      "name": "Gemma 4 E4B — llama.cpp (CPU/GPU)",
+      "description": "Google's Gemma 4 E4B using the highly-optimized Q4_0 format. Runs universally on all devices using the llama.cpp backend, supporting Adreno GPU and Hexagon DSP acceleration. License: Gemma.",
+      "quant": "Q4_0",
+      "minRamMb": 6000,
+      "url": "https://huggingface.co/unsloth/gemma-4-E4B-it-GGUF/resolve/main/gemma-4-E4B-it-Q4_0.gguf",
+      "sizeBytes": 4836002944,
+      "sha256": "4a403d2e4d80281063e4f517b1c061ded8476b4011a4fc2ba7dbff707075547e"
+    },
+    {
+      "id": "embed-minilm-l6-v2",
+      "type": "embed",
+      "name": "Semantic Memory — all-MiniLM-L6-v2",
+      "description": "Recommended. Tiny embedding model that powers semantic memory: characters auto-save and recall the right memories in the background (even when your wording differs) and the chat sends less to the main model each reply, so replies stay fast. Fully offline, runs on any phone. Apache-2.0.",
+      "quant": "F16",
+      "minRamMb": 1000,
+      "url": "https://huggingface.co/second-state/All-MiniLM-L6-v2-Embedding-GGUF/resolve/main/all-MiniLM-L6-v2-ggml-model-f16.gguf",
+      "sizeBytes": 45949216,
+      "sha256": "797b70c4edf85907fe0a49eb85811256f65fa0f7bf52166b147fd16be2be4662"
+    },
+    {
+      "id": "asr-whisper-base",
+      "type": "asr",
+      "name": "Speech-to-Text — Whisper Base",
+      "description": "On-device voice transcription for calls — fully offline, multilingual. Recommended balance of accuracy and speed. Runs on any phone. MIT.",
+      "quant": "ggml",
+      "minRamMb": 1000,
+      "url": "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.bin",
+      "sizeBytes": 147951465,
+      "sha256": "60ed5bc3dd14eea856493d334349b405782ddcaf0028d4b5df4088345fba2efe"
+    },
+    {
+      "id": "asr-whisper-tiny",
+      "type": "asr",
+      "name": "Speech-to-Text — Whisper Tiny",
+      "description": "Smallest on-device voice transcription for calls — fully offline, multilingual. Fastest, slightly lower accuracy. Runs on any phone. MIT.",
+      "quant": "ggml",
+      "minRamMb": 1000,
+      "url": "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.bin",
+      "sizeBytes": 77691713,
+      "sha256": "be07e048e1e599ad46341c8d2a135645097a538221678b7acdd1b1919c6e1b21"
+    },
+    {
+      "id": "asr-whisper-large-v3-turbo",
+      "type": "asr",
+      "name": "Speech-to-Text — Whisper Turbo",
+      "description": "Most accurate on-device voice transcription for calls — fully offline, multilingual. Larger download; best on a 6 GB+ phone. MIT.",
+      "quant": "ggml q5_0",
+      "minRamMb": 3000,
+      "url": "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-large-v3-turbo-q5_0.bin",
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+    {
+      "id": "cyberrealistic-lcm",
+      "type": "sd",
+      "name": "CyberRealistic LCM",
+      "description": "Pre-converted on-device SD 1.5 LCM model (MNN format). credit: Cyberdelia.",
+      "quant": "int8",
+      "files": [
+        {
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+          "url": "https://huggingface.co/Mr-J-369/Fancy-AI-Apple/resolve/main/cyberrealistic/unet.mnn",
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+}

memory/README.md

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+# FancyAI English memory package
+
+Optional local memory models for FancyAI. Installing this package does not enable character memory automatically.
+
+- **Summarization:** `l3utterfly/bart-large-ltm`, revision `9e446006721f6efeb5bb3760feec387d469d2746`, converted with CTranslate2 4.8.2 to int8.
+- **Embeddings:** `Xenova/bge-m3`, revision `4de13258303883538bd53b696b452bf8099f0858`, quantized ONNX model and tokenizer. BGE-M3 uses the first-token vector with L2 normalization.
+- Both upstream repositories declare MIT licensing. See their model cards: https://huggingface.co/l3utterfly/bart-large-ltm and https://huggingface.co/Xenova/bge-m3.
+
+This package targets English memory summaries. It is not represented as an exact copy of Layla's installed model package. Summaries can be inaccurate and remain editable in FancyAI.
+
+Download: [fancy-memory-english-v1.zip](./fancy-memory-english-v1.zip)
+
+SHA-256: `7c103dea90f0d92c6af70734b8c84e42a7012fe9cbd78a4e022f6b9649fd95a3`
+
+Extracted size: 1,006,221,253 bytes. Contents: BART model/config/vocabulary/tokenizer, BGE model/tokenizer, and provenance notice.

memory/fancy-memory-english-v1.zip

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+size 801674091

memory/fancy-memory-multilingual-v1.zip

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realesrgan_x4plus.fp16.mnn

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realesrgan_x4plus_anime.fp16.mnn

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