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 .devops/llama-cli-cann.Dockerfile from VladHong/llama-cpp-K2-FAST2: direct link, hf CLI and curl.
- Browser
- Download file 3.02 kB
-
https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/.devops/llama-cli-cann.Dockerfile
- Command line
-
hf download hf://VladHong/llama-cpp-K2-FAST2/.devops/llama-cli-cann.Dockerfile
-
curl -L -o llama-cli-cann.Dockerfile https://huggingface.co/VladHong/llama-cpp-K2-FAST2/resolve/main/.devops/llama-cli-cann.Dockerfile
3.02 kB
| ARG ASCEND_VERSION=8.5.0-910b-openeuler22.03-py3.10 | |
| ARG BUILD_DATE=N/A | |
| ARG APP_VERSION=N/A | |
| ARG APP_REVISION=N/A | |
| FROM docker.io/ascendai/cann:$ASCEND_VERSION AS build | |
| WORKDIR /app | |
| COPY . . | |
| RUN yum install -y gcc g++ cmake make openssl-devel | |
| ENV ASCEND_TOOLKIT_HOME=/usr/local/Ascend/ascend-toolkit/latest | |
| ENV LIBRARY_PATH=${ASCEND_TOOLKIT_HOME}/lib64:$LIBRARY_PATH | |
| ENV LD_LIBRARY_PATH=${ASCEND_TOOLKIT_HOME}/lib64:${ASCEND_TOOLKIT_HOME}/lib64/plugin/opskernel:${ASCEND_TOOLKIT_HOME}/lib64/plugin/nnengine:${ASCEND_TOOLKIT_HOME}/opp/built-in/op_impl/ai_core/tbe/op_tiling:${LD_LIBRARY_PATH} | |
| ENV PYTHONPATH=${ASCEND_TOOLKIT_HOME}/python/site-packages:${ASCEND_TOOLKIT_HOME}/opp/built-in/op_impl/ai_core/tbe:${PYTHONPATH} | |
| ENV PATH=${ASCEND_TOOLKIT_HOME}/bin:${ASCEND_TOOLKIT_HOME}/compiler/ccec_compiler/bin:${PATH} | |
| ENV ASCEND_AICPU_PATH=${ASCEND_TOOLKIT_HOME} | |
| ENV ASCEND_OPP_PATH=${ASCEND_TOOLKIT_HOME}/opp | |
| ENV TOOLCHAIN_HOME=${ASCEND_TOOLKIT_HOME}/toolkit | |
| ENV ASCEND_HOME_PATH=${ASCEND_TOOLKIT_HOME} | |
| # find libascend_hal.so, because the drive hasn`t been mounted. | |
| ENV LD_LIBRARY_PATH=${ASCEND_TOOLKIT_HOME}/runtime/lib64/stub:$LD_LIBRARY_PATH | |
| RUN echo "Building with static libs" && \ | |
| source /usr/local/Ascend/ascend-toolkit/set_env.sh --force && \ | |
| cmake -B build -DGGML_NATIVE=OFF -DGGML_CANN=ON -DBUILD_SHARED_LIBS=OFF -DLLAMA_BUILD_TESTS=OFF && \ | |
| cmake --build build --config Release --target llama-cli && \ | |
| cmake --build build --config Release --target llama-completion | |
| # TODO: use image with NNRT | |
| FROM docker.io/ascendai/cann:$ASCEND_VERSION AS runtime | |
| ARG BUILD_DATE=N/A | |
| ARG APP_VERSION=N/A | |
| ARG APP_REVISION=N/A | |
| ARG IMAGE_URL=https://github.com/ggml-org/llama.cpp | |
| ARG IMAGE_SOURCE=https://github.com/ggml-org/llama.cpp | |
| LABEL org.opencontainers.image.created=$BUILD_DATE \ | |
| org.opencontainers.image.version=$APP_VERSION \ | |
| org.opencontainers.image.revision=$APP_REVISION \ | |
| org.opencontainers.image.title="llama.cpp" \ | |
| org.opencontainers.image.description="LLM inference in C/C++" \ | |
| org.opencontainers.image.url=$IMAGE_URL \ | |
| org.opencontainers.image.source=$IMAGE_SOURCE | |
| COPY --from=build /app/build/bin/llama-cli /app/build/bin/llama-completion / | |
| ENV LC_ALL=C.utf8 | |
| ENV ASCEND_TOOLKIT_HOME=/usr/local/Ascend/ascend-toolkit/latest | |
| ENV LIBRARY_PATH=${ASCEND_TOOLKIT_HOME}/lib64:$LIBRARY_PATH | |
| ENV LD_LIBRARY_PATH=${ASCEND_TOOLKIT_HOME}/lib64:${ASCEND_TOOLKIT_HOME}/lib64/plugin/opskernel:${ASCEND_TOOLKIT_HOME}/lib64/plugin/nnengine:${ASCEND_TOOLKIT_HOME}/opp/built-in/op_impl/ai_core/tbe/op_tiling:${LD_LIBRARY_PATH} | |
| ENV PYTHONPATH=${ASCEND_TOOLKIT_HOME}/python/site-packages:${ASCEND_TOOLKIT_HOME}/opp/built-in/op_impl/ai_core/tbe:${PYTHONPATH} | |
| ENV PATH=${ASCEND_TOOLKIT_HOME}/bin:${ASCEND_TOOLKIT_HOME}/compiler/ccec_compiler/bin:${PATH} | |
| ENV ASCEND_AICPU_PATH=${ASCEND_TOOLKIT_HOME} | |
| ENV ASCEND_OPP_PATH=${ASCEND_TOOLKIT_HOME}/opp | |
| ENV TOOLCHAIN_HOME=${ASCEND_TOOLKIT_HOME}/toolkit | |
| ENV ASCEND_HOME_PATH=${ASCEND_TOOLKIT_HOME} | |
| ENTRYPOINT ["/llama-cli" ] | |