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README.md
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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 2.1 – EuroLLM-9B-Q8_0 (GGUF)
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Offline AI 2.1 is
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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
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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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## 🖥️
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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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---
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## 🔧 TECHNICAL INFORMATION
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Base model: EuroLLM-9B
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Runtime: llama.cpp
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Offline AI Version: 2.1
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Recommended RAM: 16 GB
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Platforms: macOS, Windows
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## 🧠 WHAT
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- Refined CLI architecture
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- Improved response handling
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- More stable execution
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- Designed as a private AI workspace rather than a simple launcher
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Offline AI 2.1
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It is built as a foundation for future expansion while remaining minimal and fully local.
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## 🔐 PROJECT PHILOSOPHY
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Offline AI
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- Modern AI
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- Open
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- Digital independence
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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
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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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## 🌍 PROJECT
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Website: https://OfflineAI.online
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Author: David Káninský
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- offline
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- local-ai
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- multilingual
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- cli-runtime
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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 2.1 – EuroLLM-9B-Q8_0 (GGUF)
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Offline AI 2.1 is a fully local AI runtime built around digital sovereignty, privacy, and system autonomy.
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No cloud.
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No telemetry.
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No tracking.
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No external dependencies.
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Everything runs locally via llama.cpp.
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---
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## 🖥️ CLI Preview
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Below is the Offline AI runtime interface:
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Offline AI is not just a model launcher — it is a structured local AI workspace with:
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- Profile handling
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- Runtime status inspection
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- Controlled execution flow
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- Modular architecture foundation
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- Admin mode (locked access for advanced system control)
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---
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## 🔧 TECHNICAL INFORMATION
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Base model: EuroLLM-9B
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Quantization: Q8_0 (GGUF)
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Format: llama.cpp compatible
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Runtime: llama.cpp
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Offline AI Version: 2.1
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Recommended RAM: 16 GB
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Platforms: macOS, Windows
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This repository distributes a quantized GGUF Q8_0 variant of the EuroLLM-9B model for efficient offline inference.
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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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## 🧠 WHAT'S NEW IN 2.1
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- Refined CLI architecture
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- Structured command system
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- Improved response handling
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- More stable execution
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- Admin access layer (locked system control mode)
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- Cleaner internal logic separation
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Offline AI 2.1 transitions from a simple launcher to a structured local runtime environment.
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---
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## 🔐 PROJECT PHILOSOPHY
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Offline AI demonstrates that:
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- Modern AI can operate without cloud infrastructure
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- Open models can run independently
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- AI tools can respect user privacy
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- Local-first computing is viable
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The project promotes:
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- Digital independence
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- Transparent system design
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- Offline experimentation
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- User-controlled AI environments
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---
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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
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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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## 🌍 PROJECT
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Website: https://OfflineAI.online
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Domains: .cz / .sk / .de
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Author: David Káninský
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