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@@ -8,133 +8,5 @@ We build for **real machines**.
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  > 🧠 *If it can boot — it should run AI.*
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- ## 🌍 Mission
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- AI should not require:
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- - A $2000 GPU
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- - 32GB RAM
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- - Cloud subscriptions
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- - Always-on internet
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- **Xlnk-AI exists to break that model.**
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- We focus on **efficiency, accessibility, and ownership**, enabling AI to run on:
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- - 💾 **2GB RAM**
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- - 🖥️ Old CPUs
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- - 🎮 Legacy GPUs (GeForce 210-class)
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- - 📦 Minimal storage
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- - 🔌 Offline environments
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- ## 🚀 What Makes Xlnk-AI Different
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- - 🔥 **Ultra-light models**
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- - 🔓 **Non-profit & open-source**
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- - 🧠 **CPU-first inference**
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- - 🌐 **Offline-capable AI**
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- - ♻️ **Sustainable computing**
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- - 🛠️ **Runs on “obsolete” hardware**
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- We optimize for **usefulness**, not hype benchmarks.
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- ## 🧠 Core Focus
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- - INT8 / INT4 quantization
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- - Tiny & hybrid model architectures
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- - CPU-optimized inference
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- - Optional legacy GPU acceleration
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- - Minimal dependencies
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- - Docker & bare-metal support
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- ## 🖥️ Hardware Targets
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- | Component | Target |
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- |--------|--------|
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- | RAM | 2GB (or less) |
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- | CPU | Dual-core x86 / ARM |
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- | GPU | Optional (GeForce 210-class) |
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- | Storage | < 1GB per model |
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- | Internet | Optional |
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- If your PC is called *“too old”* — **we want it**.
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- ## 🧭 Roadmap
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- ### 🟢 Phase 1 — Foundation
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- - CPU-first inference
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- - Quantized models
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- - 2GB RAM compatibility
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- - Docker & local runtimes
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- ### 🟡 Phase 2 — Usability
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- - Offline chat tools
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- - Sub-500MB models
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- - Legacy GPU acceleration
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- - Windows / Linux / ARM builds
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- ### 🔵 Phase 3 — Community
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- - Community-trained models
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- - Hardware compatibility matrix
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- - Benchmarks on old machines
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- - Educational releases
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- ### 🔴 Phase 4 — Extreme Edge
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- - Embedded & SBC support
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- - Sub-1GB RAM AI
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- - No-GPU pipelines
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- - “Runs Anywhere” certification
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- ## 🤝 Contributing
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- You don’t need:
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- - A monster GPU
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- - A big budget
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- - A cloud account
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- You *do* need:
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- - Curiosity
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- - Optimization skills
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- - Old hardware to test
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- - A belief that AI should be accessible
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- **If your PC struggles — you’re our ideal contributor.**
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- ## 📜 License
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- Xlnk-AI projects are released under **open-source licenses** to ensure:
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- - Transparency
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- - Long-term access
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- - User freedom
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- ## ❤️ Why Xlnk-AI?
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- Because AI should belong to:
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- - Schools
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- - Students
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- - Low-resource regions
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- - Old hardware owners
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- Not just data centers.
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  ### ⚡ Xlnk-AI
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  **Lightweight AI. Real Access. Everywhere.**
 
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  > 🧠 *If it can boot — it should run AI.*
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  ### ⚡ Xlnk-AI
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  **Lightweight AI. Real Access. Everywhere.**