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 cmake/license.cmake from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 1.45 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/cmake/license.cmake
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/cmake/license.cmake
-
curl -L -o license.cmake https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/cmake/license.cmake
1.45 kB
| define_property(GLOBAL PROPERTY LICENSE_TEXT | |
| BRIEF_DOCS "Embedded licenses" | |
| FULL_DOCS "Global string containing all aggregated licenses" | |
| ) | |
| function(license_add_file NAME FILE) | |
| if(NOT IS_ABSOLUTE "${FILE}") | |
| set(FILE "${CMAKE_CURRENT_SOURCE_DIR}/${FILE}") | |
| endif() | |
| if(EXISTS "${FILE}") | |
| set(TITLE "License for ${NAME}") | |
| string(REGEX REPLACE "." "=" UNDERLINE "${TITLE}") | |
| file(READ "${FILE}" TEXT) | |
| get_property(TMP GLOBAL PROPERTY LICENSE_TEXT) | |
| string(APPEND TMP "R\"=L=(${TITLE}\n${UNDERLINE}\n\n${TEXT})=L=\",\n") | |
| set_property(GLOBAL PROPERTY LICENSE_TEXT "${TMP}") | |
| else() | |
| message(WARNING "License file '${FILE}' not found") | |
| endif() | |
| endfunction() | |
| function(license_generate TARGET_NAME) | |
| message(STATUS "Generating embedded license file for target: ${TARGET_NAME}") | |
| get_property(TEXT GLOBAL PROPERTY LICENSE_TEXT) | |
| set(CPP_CONTENT "// Generated by CMake\n\n") | |
| string(APPEND CPP_CONTENT "const char* LICENSES[] = {\n") | |
| string(APPEND CPP_CONTENT "${TEXT}") | |
| string(APPEND CPP_CONTENT "nullptr\n") | |
| string(APPEND CPP_CONTENT "};\n") | |
| set(CPP_FILE "${CMAKE_BINARY_DIR}/license.cpp") | |
| file(WRITE "${CPP_FILE}" "${CPP_CONTENT}") | |
| if(TARGET ${TARGET_NAME}) | |
| target_sources(${TARGET_NAME} PRIVATE "${CPP_FILE}") | |
| else() | |
| message(FATAL_ERROR "Target '${TARGET_NAME}' does not exist") | |
| endif() | |
| endfunction() | |