Instructions to use Aliguinga01/rule_violation2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Aliguinga01/rule_violation2 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Aliguinga01/rule_violation2", filename="llama.cpp/models/ggml-vocab-aquila.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use Aliguinga01/rule_violation2 with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Aliguinga01/rule_violation2:F16 # Run inference directly in the terminal: llama-cli -hf Aliguinga01/rule_violation2:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Aliguinga01/rule_violation2:F16 # Run inference directly in the terminal: llama-cli -hf Aliguinga01/rule_violation2:F16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Aliguinga01/rule_violation2:F16 # Run inference directly in the terminal: ./llama-cli -hf Aliguinga01/rule_violation2:F16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Aliguinga01/rule_violation2:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Aliguinga01/rule_violation2:F16
Use Docker
docker model run hf.co/Aliguinga01/rule_violation2:F16
- LM Studio
- Jan
- Ollama
How to use Aliguinga01/rule_violation2 with Ollama:
ollama run hf.co/Aliguinga01/rule_violation2:F16
- Unsloth Studio new
How to use Aliguinga01/rule_violation2 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Aliguinga01/rule_violation2 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Aliguinga01/rule_violation2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Aliguinga01/rule_violation2 to start chatting
- Docker Model Runner
How to use Aliguinga01/rule_violation2 with Docker Model Runner:
docker model run hf.co/Aliguinga01/rule_violation2:F16
- Lemonade
How to use Aliguinga01/rule_violation2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Aliguinga01/rule_violation2:F16
Run and chat with the model
lemonade run user.rule_violation2-F16
List all available models
lemonade list
| # mtmd | |
| find_package(Threads REQUIRED) | |
| add_library(mtmd | |
| mtmd.cpp | |
| mtmd-audio.cpp | |
| mtmd.h | |
| clip.cpp | |
| clip.h | |
| clip-impl.h | |
| mtmd-helper.cpp | |
| mtmd-helper.h | |
| ) | |
| target_link_libraries (mtmd PUBLIC ggml llama) | |
| target_link_libraries (mtmd PRIVATE Threads::Threads) | |
| target_include_directories(mtmd PUBLIC .) | |
| target_include_directories(mtmd PRIVATE ../..) | |
| target_include_directories(mtmd PRIVATE ../../vendor) | |
| target_compile_features (mtmd PRIVATE cxx_std_17) | |
| if (BUILD_SHARED_LIBS) | |
| set_target_properties (mtmd PROPERTIES POSITION_INDEPENDENT_CODE ON) | |
| target_compile_definitions(mtmd PRIVATE LLAMA_BUILD) | |
| target_compile_definitions(mtmd PUBLIC LLAMA_SHARED) | |
| endif() | |
| set(MTMD_PUBLIC_HEADERS | |
| ${CMAKE_CURRENT_SOURCE_DIR}/mtmd.h | |
| ${CMAKE_CURRENT_SOURCE_DIR}/mtmd-helper.h | |
| ) | |
| set_target_properties(mtmd | |
| PROPERTIES | |
| PUBLIC_HEADER "${MTMD_PUBLIC_HEADERS}") | |
| install(TARGETS mtmd LIBRARY PUBLIC_HEADER) | |
| if (NOT MSVC) | |
| # for stb_image.h and miniaudio.h | |
| target_compile_options(mtmd PRIVATE -Wno-cast-qual) | |
| endif() | |
| if (TARGET BUILD_INFO) | |
| add_dependencies(mtmd BUILD_INFO) | |
| add_dependencies(mtmd-helper BUILD_INFO) | |
| endif() | |
| add_executable(llama-llava-cli deprecation-warning.cpp) | |
| add_executable(llama-gemma3-cli deprecation-warning.cpp) | |
| add_executable(llama-minicpmv-cli deprecation-warning.cpp) | |
| add_executable(llama-qwen2vl-cli deprecation-warning.cpp) | |
| set(TARGET llama-mtmd-cli) | |
| add_executable (${TARGET} mtmd-cli.cpp) | |
| set_target_properties (${TARGET} PROPERTIES OUTPUT_NAME llama-mtmd-cli) | |
| if(LLAMA_TOOLS_INSTALL) | |
| install(TARGETS ${TARGET} RUNTIME) | |
| endif() | |
| target_link_libraries (${TARGET} PRIVATE common mtmd Threads::Threads) | |
| target_compile_features(${TARGET} PRIVATE cxx_std_17) | |