Offline AI Runtime 3.0 – EuroLLM-9B-Q8_0 (GGUF)

Offline AI Runtime 3.0 is a fully local AI runtime environment focused on digital sovereignty, privacy, and user-controlled AI.

Everything runs entirely on your own computer.

No cloud.
No telemetry.
No tracking.
No subscriptions.

🖥️ Runtime Interfaces

Offline AI provides multiple ways to interact with local AI:

Terminal (CLI)
Modern Web UI
Voice interaction (Speech-to-Text + Text-to-Speech)

All interfaces use the same local runtime and the same locally running language models.

✨ What's New in 3.0

Offline AI has evolved from a simple model launcher into a complete local AI runtime platform.

New features include:

Modern Web UI
Structured CLI runtime
Voice conversations (STT + TTS)
Runtime model switching
Model lifecycle management
Model alias system
Workspace profiles
Conversation snapshots
Notes system
Runtime diagnostics
Administrative control mode
Improved modular architecture

Designed for running multiple local AI models inside a unified offline environment.

🧠 Runtime Architecture

CLI / Web UI / Voice
          │
          ▼
 Offline AI Runtime
          │
 ├── Profiles
 ├── Notes
 ├── Snapshots
 ├── Diagnostics
 ├── Voice
 ├── Model Manager
 └── Runtime Commands
          │
          ▼
      llama.cpp
          │
          ▼
     GGUF Models

The Python runtime acts as the orchestration layer while llama.cpp provides efficient local inference with real-time token streaming.

🔧 Technical Information

Component	Value
Base model	EuroLLM-9B
Quantization	Q8_0
Format	GGUF
Runtime	Offline AI Runtime 3.0
Inference Engine	llama.cpp
Recommended RAM	16 GB
Platforms	macOS • Windows • Linux

This repository distributes an unmodified quantized GGUF version of EuroLLM-9B.

The original model has not been fine-tuned or modified as part of this project.

🔐 Project Philosophy

Offline AI explores a different direction for modern AI.

The project demonstrates that:

AI can work without cloud services.
AI belongs to its owner.
Privacy should be the default.
Users should control their own models.
Local-first AI is a viable architecture.

Offline AI promotes:

Digital sovereignty
Local-first computing
Transparent system design
Open AI ecosystems
Privacy by default

📄 Model Origin & License

Base Model

EuroLLM-9B

Authors

EuroLLM Consortium

Base Model License

Apache License 2.0

Runtime Engine

llama.cpp (MIT License)

Offline AI Runtime

All components are distributed in accordance with their respective licenses.

⚠️ Disclaimer

Offline AI is an educational and experimental runtime environment.

Generated responses may contain inaccuracies and should not be used as the sole basis for legal, medical, financial, or other high-risk decisions.

Users are responsible for how the software and generated content are used.

🌍 Project

Website

https://OfflineAI.online

Additional domains:

OfflineAI.cz
OfflineAI.sk
OfflineAI.de

Author

David Káninský

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