Text Generation
Safetensors
GGUF
English
reasoning
reinforcement-learning
grpo
small-language-model
samsung-ennovatex
conversational
Instructions to use OmnipotentFool/Aurvion 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 OmnipotentFool/Aurvion 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 OmnipotentFool/Aurvion:Q4_K_M # Run inference directly in the terminal: llama cli -hf OmnipotentFool/Aurvion:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf OmnipotentFool/Aurvion:Q4_K_M # Run inference directly in the terminal: llama cli -hf OmnipotentFool/Aurvion:Q4_K_M
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 OmnipotentFool/Aurvion:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf OmnipotentFool/Aurvion:Q4_K_M
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 OmnipotentFool/Aurvion:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf OmnipotentFool/Aurvion:Q4_K_M
Use Docker
docker model run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use OmnipotentFool/Aurvion with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OmnipotentFool/Aurvion" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OmnipotentFool/Aurvion", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- Ollama
How to use OmnipotentFool/Aurvion with Ollama:
ollama run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use OmnipotentFool/Aurvion with Docker Model Runner:
docker model run hf.co/OmnipotentFool/Aurvion:Q4_K_M
- Lemonade
How to use OmnipotentFool/Aurvion with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull OmnipotentFool/Aurvion:Q4_K_M
Run and chat with the model
lemonade run user.Aurvion-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download llama.cpp/build/examples/debug/cmake_install.cmake from OmnipotentFool/Aurvion: direct link, hf CLI and curl.
- Browser
- Download file 2.39 kB
-
https://huggingface.co/OmnipotentFool/Aurvion/resolve/main/llama.cpp/build/examples/debug/cmake_install.cmake
- Command line
-
hf download hf://OmnipotentFool/Aurvion/llama.cpp/build/examples/debug/cmake_install.cmake
-
curl -L -o cmake_install.cmake https://huggingface.co/OmnipotentFool/Aurvion/resolve/main/llama.cpp/build/examples/debug/cmake_install.cmake
2.39 kB
| # Install script for directory: D:/Projects/CRAFT - A Framework to Enhance Reasoning Capabilities in Small Language Models/CRAFT-SLM-Reasoning-Framework-Phi3-mini/llama.cpp/examples/debug | |
| # Set the install prefix | |
| if(NOT DEFINED CMAKE_INSTALL_PREFIX) | |
| set(CMAKE_INSTALL_PREFIX "C:/Program Files (x86)/llama.cpp") | |
| endif() | |
| string(REGEX REPLACE "/$" "" CMAKE_INSTALL_PREFIX "${CMAKE_INSTALL_PREFIX}") | |
| # Set the install configuration name. | |
| if(NOT DEFINED CMAKE_INSTALL_CONFIG_NAME) | |
| if(BUILD_TYPE) | |
| string(REGEX REPLACE "^[^A-Za-z0-9_]+" "" | |
| CMAKE_INSTALL_CONFIG_NAME "${BUILD_TYPE}") | |
| else() | |
| set(CMAKE_INSTALL_CONFIG_NAME "Release") | |
| endif() | |
| message(STATUS "Install configuration: \"${CMAKE_INSTALL_CONFIG_NAME}\"") | |
| endif() | |
| # Set the component getting installed. | |
| if(NOT CMAKE_INSTALL_COMPONENT) | |
| if(COMPONENT) | |
| message(STATUS "Install component: \"${COMPONENT}\"") | |
| set(CMAKE_INSTALL_COMPONENT "${COMPONENT}") | |
| else() | |
| set(CMAKE_INSTALL_COMPONENT) | |
| endif() | |
| endif() | |
| # Is this installation the result of a crosscompile? | |
| if(NOT DEFINED CMAKE_CROSSCOMPILING) | |
| set(CMAKE_CROSSCOMPILING "FALSE") | |
| endif() | |
| # Set path to fallback-tool for dependency-resolution. | |
| if(NOT DEFINED CMAKE_OBJDUMP) | |
| set(CMAKE_OBJDUMP "C:/msys64/ucrt64/bin/objdump.exe") | |
| endif() | |
| if(CMAKE_INSTALL_COMPONENT STREQUAL "Unspecified" OR NOT CMAKE_INSTALL_COMPONENT) | |
| file(INSTALL DESTINATION "${CMAKE_INSTALL_PREFIX}/bin" TYPE EXECUTABLE FILES "D:/Projects/CRAFT - A Framework to Enhance Reasoning Capabilities in Small Language Models/CRAFT-SLM-Reasoning-Framework-Phi3-mini/llama.cpp/build/bin/llama-debug.exe") | |
| if(EXISTS "$ENV{DESTDIR}${CMAKE_INSTALL_PREFIX}/bin/llama-debug.exe" AND | |
| NOT IS_SYMLINK "$ENV{DESTDIR}${CMAKE_INSTALL_PREFIX}/bin/llama-debug.exe") | |
| if(CMAKE_INSTALL_DO_STRIP) | |
| execute_process(COMMAND "C:/msys64/ucrt64/bin/strip.exe" "$ENV{DESTDIR}${CMAKE_INSTALL_PREFIX}/bin/llama-debug.exe") | |
| endif() | |
| endif() | |
| endif() | |
| string(REPLACE ";" "\n" CMAKE_INSTALL_MANIFEST_CONTENT | |
| "${CMAKE_INSTALL_MANIFEST_FILES}") | |
| if(CMAKE_INSTALL_LOCAL_ONLY) | |
| file(WRITE "D:/Projects/CRAFT - A Framework to Enhance Reasoning Capabilities in Small Language Models/CRAFT-SLM-Reasoning-Framework-Phi3-mini/llama.cpp/build/examples/debug/install_local_manifest.txt" | |
| "${CMAKE_INSTALL_MANIFEST_CONTENT}") | |
| endif() | |