Instructions to use VladHong/llama-cpp-K2-FAST2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use VladHong/llama-cpp-K2-FAST2 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: llama cli -hf VladHong/llama-cpp-K2-FAST2
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: llama cli -hf VladHong/llama-cpp-K2-FAST2
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf VladHong/llama-cpp-K2-FAST2 # Run inference directly in the terminal: ./build/bin/llama cli -hf VladHong/llama-cpp-K2-FAST2
Use Docker
docker model run hf.co/VladHong/llama-cpp-K2-FAST2
- Llama new
- LM Studio
- Jan
- Ollama
How to use VladHong/llama-cpp-K2-FAST2 with Ollama:
ollama run hf.co/VladHong/llama-cpp-K2-FAST2
- Unsloth Desktop
- Docker Model Runner
How to use VladHong/llama-cpp-K2-FAST2 with Docker Model Runner:
docker model run hf.co/VladHong/llama-cpp-K2-FAST2
- Lemonade
How to use VladHong/llama-cpp-K2-FAST2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull VladHong/llama-cpp-K2-FAST2
Run and chat with the model
lemonade run user.llama-cpp-K2-FAST2-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download tools/ui/tests/stories/Introduction.mdx from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 1.63 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/tests/stories/Introduction.mdx
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/tests/stories/Introduction.mdx
-
curl -L -o Introduction.mdx https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/tests/stories/Introduction.mdx
1.63 kB
| import { Meta } from '@storybook/addon-docs/blocks'; | |
| <Meta title="Introduction" /> | |
| # llama.cpp Web UI | |
| Welcome to the **llama-ui** component library! This Storybook showcases the components used in the modern web interface for the llama-server. | |
| ## 🚀 About This Project | |
| Llama UI is a modern web interface for the llama-server, built with SvelteKit and ShadCN UI. Features include: | |
| - **Real-time chat conversations** with AI assistants | |
| - **Multi-conversation management** with persistent storage | |
| - **Advanced parameter tuning** for model behavior | |
| - **File upload support** for multimodal interactions | |
| - **Responsive design** that works on desktop and mobile | |
| ## 🎨 Design System | |
| The UI is built using: | |
| - **SvelteKit** - Modern web framework with excellent performance | |
| - **Tailwind CSS** - Utility-first CSS framework for rapid styling | |
| - **ShadCN/UI** - High-quality, accessible component library | |
| - **Lucide Icons** - Beautiful, consistent icon set | |
| ## 🔧 Development | |
| This Storybook serves as both documentation and a development environment for the UI components. Each story demonstrates: | |
| - **Component variations** - Different states and configurations | |
| - **Interactive examples** - Live components you can interact with | |
| - **Usage patterns** - How components work together | |
| - **Styling consistency** - Unified design language | |
| ## 🚀 Getting Started | |
| To explore the components: | |
| 1. **Browse the sidebar** to see all available components | |
| 2. **Click on stories** to see different component states | |
| 3. **Use the controls panel** to interact with component props | |
| 4. **Check the docs tab** for detailed component information | |