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 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
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:
./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:
(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:
(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.