Update README.md
Browse filesOffline AI 2.0 – EuroLLM-9B-Q8_0 (GGUF)
Privacy-first AI. Fully local. No cloud.
Offline AI 2.0 distributes a Q8_0 quantized GGUF version of EuroLLM-9B for efficient offline inference using llama.cpp.
This release is part of the OfflineAI.online project and represents Version 2.0 — evolving from a simple offline model runner into a lightweight private AI workspace.
What This Is:
Quantized distribution of EuroLLM-9B
GGUF format (llama.cpp compatible)
Optimized for local execution
No fine-tuning applied
No cloud dependency
Everything runs locally on your machine.
Requirements:
~16 GB RAM recommended
llama.cpp or compatible GGUF runtime
macOS or Windows
License:
Base model: EuroLLM-9B — Apache License 2.0
Runtime: llama.cpp — MIT License
Offline AI wrapper/interface: © David Káninský
Project:
Website: https://OfflineAI.online
Digital independence.
Local-first computing.
AI without surveillance economics.
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---
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language:
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- cs
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- sk
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- en
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- de
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license: apache-2.0
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base_model: EuroLLM-9B
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quantization: Q8_0
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tags:
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- gguf
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- llama.cpp
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- offline
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- local-ai
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- multilingual
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pipeline_tag: text-generation
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library_name: llama.cpp
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---
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# Offline AI 2.0 – EuroLLM-9B-Q8_0 (GGUF)
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Offline AI 2.0 is the next evolution of the OfflineAI.online project.
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Version 1 proved a simple idea:
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AI can run completely offline.
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No cloud.
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No tracking.
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No data collection.
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Version 2.0 expands this concept into a lightweight private AI workspace designed for independent work, experimentation, and digital sovereignty.
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Everything runs locally.
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No internet connection required.
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No data leaves your device.
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This repository distributes a **quantized GGUF Q8_0 variant of the EuroLLM-9B model** for efficient offline inference via llama.cpp.
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The original model weights are unmodified and not fine-tuned as part of this project.
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---
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## 🖥️ PLATFORM
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macOS / Windows
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- No installation required
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- No external dependencies
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- No account needed
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- Launch and use
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(Platform-specific instructions remain the same as in Version 1.)
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---
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## 🔧 TECHNICAL INFORMATION
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Base model: EuroLLM-9B (quantized Q8_0 for offline execution)
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Format: GGUF (llama.cpp compatible)
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Runtime: llama.cpp
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Offline AI Version: 2.0
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Recommended RAM: 16 GB
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Platforms: macOS, Windows
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The EuroLLM model provides strong multilingual performance (Czech, Slovak, English, German), optimized for European language contexts. :contentReference[oaicite:2]{index=2}
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---
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## 🧠 WHAT CHANGED IN 2.0
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- Refined wrapper architecture
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- Improved response handling
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- More stable execution
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- Cleaner interaction flow
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- Stronger project identity and structure
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- Designed as a private AI workspace rather than a simple launcher
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Offline AI 2.0 is not just “run model → chat → exit”.
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It is built as a foundation for future expansion while remaining minimal and fully local.
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---
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## 🔐 PROJECT PHILOSOPHY
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Offline AI exists to demonstrate that:
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- Modern AI does not require cloud infrastructure
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- Open-source models can operate independently
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- Digital tools can respect user privacy
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- AI can be used without surveillance economics
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This project promotes:
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- Digital independence
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- Transparency
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- Local-first computing
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- Educational experimentation
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---
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## 📄 MODEL ORIGIN & LICENSE
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Model: EuroLLM-9B
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Original authors: EuroLLM Project consortium
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Funded by: European Union research initiatives
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Base model license: Apache License 2.0
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Quantized distribution: GGUF Q8_0 (for offline inference)
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Runtime: llama.cpp (MIT License)
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Offline AI interface and wrapper: © David Káninský
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All components are used in compliance with their respective licenses.
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---
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## ⚠️ DISCLAIMER
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This project is an educational and experimental implementation.
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It is not a commercial AI service and does not replace professional advice.
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Outputs are not intended for legal, medical, financial, or critical decision-making use.
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Use beyond personal, research, or educational purposes is at your own responsibility.
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---
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## 🌍 PROJECT
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Website: https://OfflineAI.online
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Localizations: .cz / .sk / .de
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Author: David Káninský
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