| --- |
| license: apache-2.0 |
| language: |
| - en |
| tags: |
| - llm |
| - gguf |
| - local-inference |
| - text-generation |
| - kail |
| pipeline_tag: text-generation |
| library_name: llama.cpp |
| --- |
| |
|
|
| # 🚀 Kail F2 |
|
|
| **Kail F2** is a lightweight, high-performance open-source language model built entirely from scratch by **Kaniskten Programming**, powered by the custom **Kail2 architecture**. |
|
|
| --- |
|
|
| ## 🧠 Model Overview |
|
|
| * **Model Name:** Kail F2 |
| * **Architecture:** Kail2 |
| * **Parameters:** 1.5B |
| * **Format:** GGUF |
| * **Framework Compatibility:** Kail SDK Loader |
|
|
| Kail F2 is designed for **speed, efficiency, and accessibility**, making it ideal for local AI applications and low-resource environments. |
|
|
| --- |
|
|
| ## ⚡ Key Features |
|
|
| * 🔹 Built completely from scratch (no base model) |
| * 🔹 Custom **Kail2 architecture** |
| * 🔹 Optimized GGUF format for fast inference |
| * 🔹 Low memory footprint |
| * 🔹 Suitable for local deployment and edge devices |
| * 🔹 Open-source and extensible |
|
|
| --- |
|
|
| ## 🖥️ Usage |
|
|
| Because Kail F2 uses a proprietary, cryptographically secured format (Void Protocol), standard loaders will not recognize it. You must use the provided **Kail SDK Loader** to initialize the model. |
|
|
| ### 1. Download the Files |
| Download both `kail_f2.gguf` and `run_kail_gguf.py` to your local machine. |
|
|
| ### 2. Run with Kail SDK |
| Ensure you have `llama.cpp` compiled on your machine, then run the python loader: |
|
|
| ```bash |
| python3 run_kail_gguf.py |
| ``` |
|
|
| *The loader will automatically decrypt the model and launch the interactive engine.* |
|
|
| --- |
|
|
| ## 📦 Prerequisites |
|
|
| You need standard `llama.cpp` installed on your machine for the loader to interface with: |
|
|
| ```bash |
| git clone https://github.com/ggerganov/llama.cpp |
| cd llama.cpp |
| make |
| ``` |
|
|
| --- |
|
|
| ## 🎯 Example Output |
|
|
| **Prompt:** |
|
|
| ``` |
| Explain artificial intelligence in simple terms. |
| ``` |
|
|
| **Response:** |
|
|
| ``` |
| Artificial intelligence is the ability of machines to think, learn, and make decisions like humans. It helps computers solve problems, understand language, and improve over time. |
| ``` |
|
|
| --- |
|
|
| ## 📊 Performance |
|
|
| Kail F2 is optimized for: |
|
|
| * Fast token generation |
| * Low latency inference |
| * Efficient CPU usage |
|
|
| *(Add benchmarks here later for more credibility)* |
|
|
| --- |
|
|
| ## 🔐 License |
|
|
| This project is released under the Apache-2.0 License. |
|
|
| --- |
|
|
| ## 👨💻 Developer |
|
|
| Created by **Kaniskten Programming** |
|
|
| * 🌐 Focus: AI, Software, and Systems |
| * 🚀 Vision: Building accessible and powerful AI technologies |
|
|
| --- |
|
|
| ## 🌟 Future Plans |
|
|
| * Larger Kail model variants |
| * Dedicated Kail runtime (`kail-runner`) |
| * API and deployment tools |
|
|
| --- |
|
|
| ## 🤝 Contributing |
|
|
| Contributions, ideas, and feedback are welcome. |
| Feel free to open issues or submit pull requests. |
|
|
| --- |
|
|
| ## ⭐ Support |
|
|
| If you find this project useful, consider starring ⭐ the repository and sharing it. |
|
|
| --- |
|
|
| **Kail F2 — Built from scratch. Designed for the future.** |
|
|
