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- # Tera V2
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-
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- AI Document Intelligence powered by local Ollama (qwen3.5:0.8b)
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-
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- ## Requirements
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- - Ollama installed (https://ollama.com)
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- - qwen3.5:0.8b model: `ollama pull qwen3.5:0.8b`
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- - Node.js (for backend only)
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-
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- ## Quick Start
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-
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- ### 1. Start Ollama (Terminal 1)
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- ```bash
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- ollama run qwen3.5:0.8b
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- ```
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-
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- ### 2. Start Backend (Terminal 2)
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- ```bash
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- npm install
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- npm start
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- ```
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-
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- ### 3. Open Frontend
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- Double-click `tera-docs.html` in your browser
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-
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- ## Configuration
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- Edit `.env` to change model or port:
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- ```env
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- OLLAMA_URL=http://localhost:11434
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- MODEL=qwen3.5:0.8b
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- PORT=5000
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- ```
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-
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- ## Features
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- - Chat with documents
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- - File upload (PDF, TXT, images)
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- - Audio generation
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- - Dark mode
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- - 100% local - no API keys
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-
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- ## Cloud Deployment
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- For cloud deployment without local Node.js, use included Docker files:
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- - `Dockerfile` - Container definition
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- - `start.sh` - Startup script
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- Deploy to Hugging Face Spaces, RunPod, or any Docker host.
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-
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- ## License
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- MIT + Qwen License (see LICENSE file)
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- Tera V2 is a rebranded deployment of Qwen3.5 for document intelligence tasks.
 
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+ ---
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+ title: Tera V2
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+ emoji: 🚀
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+ colorFrom: purple
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+ colorTo: blue
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+ sdk: docker
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+ pinned: false
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+ ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Tera V2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ AI Document Intelligence powered by Ollama