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
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Download examples/test-cmake/README.md from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 1.46 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/examples/test-cmake/README.md
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/examples/test-cmake/README.md
-
curl -L -o README.md https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/examples/test-cmake/README.md
1.46 kB
| ## cmake-test | |
| This is just for manually testing/developing of a llama.cpp installation to | |
| enable troubleshooting issues and exploration. The idea is that this can be used | |
| after making changes to llama.cpp installation cmake configuration and then | |
| verify it locally. | |
| ### Usage | |
| The following will configure, build, and install llama.cpp | |
| Configuring/build/install: | |
| ```console | |
| ./build-install.sh | |
| ``` | |
| The above command will create a directory named `install` in the current directory | |
| which will have the follwing files in its lib directory: | |
| ```console | |
| (venv) $ ls install/lib/ | |
| cmake libggml.so libllama-common.so.0 libllama.so.0.1.0 llama.cpp | |
| libggml-base.so libggml.so.0 libllama-common.so.0.1.0 libmtmd.so pkgconfig | |
| libggml-base.so.0 libggml.so.0.19.0 libllama.so libmtmd.so.0 | |
| libggml-base.so.0.19.0 libllama-common.so libllama.so.0 libmtmd.so.0.1.0 | |
| ``` | |
| Build/run this project using the installation created above: | |
| ```console | |
| (venv) $ ./build.sh | |
| -- Configuring done (0.0s) | |
| -- Generating done (0.0s) | |
| -- Build files have been written to: /path/to/llama.cpp/examples/test-cmake/build | |
| [100%] Built target test-cmake | |
| [test-cmake] Using llama.cpp version 0.1.0-dev-b10335 | |
| [test-cmake] Initializing backend... | |
| load_backend: loaded CPU backend from /path/to/llama.cpp/examples/test-cmake/install/lib/llama.cpp/libggml-cpu-alderlake.so | |
| [test-cmake] Backend initialized. | |
| ``` | |