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/src/app.html from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 590 Bytes
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/app.html
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/tools/ui/src/app.html
-
curl -L -o app.html https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/tools/ui/src/app.html
590 Bytes
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8" /> | |
| <link rel="icon" href="favicon.ico" sizes="48x48" /> | |
| <link rel="icon" href="favicon.svg" sizes="any" type="image/svg+xml" /> | |
| <link rel="apple-touch-icon" href="apple-touch-icon-180x180.png" /> | |
| <link rel="manifest" href="./manifest.webmanifest" /> | |
| <meta | |
| name="viewport" | |
| content="width=device-width, initial-scale=1, interactive-widget=resizes-content" | |
| /> | |
| %sveltekit.head% | |
| </head> | |
| <body data-sveltekit-preload-data="hover"> | |
| <div style="display: contents">%sveltekit.body%</div> | |
| </body> | |
| </html> | |