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 .github/workflows/build-cmake-pkg.yml from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 2.02 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/.github/workflows/build-cmake-pkg.yml
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/.github/workflows/build-cmake-pkg.yml
-
curl -L -o build-cmake-pkg.yml https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/.github/workflows/build-cmake-pkg.yml
2.02 kB
| name: Build relocatable cmake package | |
| on: | |
| workflow_dispatch: | |
| workflow_call: | |
| jobs: | |
| linux: | |
| runs-on: [self-hosted, Linux] | |
| steps: | |
| - uses: actions/checkout@v6 | |
| with: | |
| fetch-depth: 0 | |
| - name: Build | |
| run: | | |
| PREFIX="$(pwd)"/inst | |
| cmake -S . -B build \ | |
| -DCMAKE_PREFIX_PATH="$PREFIX" \ | |
| -DLLAMA_OPENSSL=OFF \ | |
| -DLLAMA_BUILD_TESTS=OFF \ | |
| -DLLAMA_BUILD_TOOLS=OFF \ | |
| -DLLAMA_BUILD_EXAMPLES=OFF \ | |
| -DLLAMA_BUILD_APP=OFF \ | |
| -DLLAMA_BUILD_IS_DEV=OFF \ | |
| -DCMAKE_BUILD_TYPE=Release | |
| cmake --build build --config Release -j $(nproc) | |
| cmake --install build --prefix "$PREFIX" --config Release | |
| export LLAMA_CONFIG="$PREFIX"/lib/cmake/llama/llama-config.cmake | |
| build_commit=$(git rev-parse --short HEAD | xargs) | |
| build_number=$(git rev-list --count HEAD | xargs) | |
| major=$(grep -oE "set\(LLAMA_VERSION_MAJOR[[:space:]]+[0-9]+" CMakeLists.txt | grep -oE "[0-9]+$") | |
| minor=$(grep -oE "set\(LLAMA_VERSION_MINOR[[:space:]]+[0-9]+" CMakeLists.txt | grep -oE "[0-9]+$") | |
| patch=$(grep -oE "set\(LLAMA_VERSION_PATCH[[:space:]]+[0-9]+" CMakeLists.txt | grep -oE "[0-9]+$") | |
| build_version="$major.$minor.$patch" | |
| checks=("set\(LLAMA_VERSION[[:space:]]+$build_version\)" | |
| "set\(LLAMA_BUILD_COMMIT[[:space:]]+$build_commit\)" | |
| "set\(LLAMA_BUILD_NUMBER[[:space:]]+$build_number\)") | |
| for check in "${checks[@]}"; do | |
| if ! grep -qE "$check" "$LLAMA_CONFIG"; then | |
| echo "Checking llama-config.cmake version... \"$check\" failed!" | |
| exit 1 | |
| fi | |
| done | |
| echo "Checking llama-config.cmake version... success." | |
| cd examples/simple-cmake-pkg | |
| cmake -S . -B build -DCMAKE_PREFIX_PATH="$PREFIX"/lib/cmake | |
| cmake --build build -j $(nproc) | |