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
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 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
- Llama new
- 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
File size: 2,582 Bytes
f22b4e1 | 1 2 3 4 5 6 7 8 9 10 11 | # CMake generated Testfile for
# Source directory: D:/Projects/CRAFT - A Framework to Enhance Reasoning Capabilities in Small Language Models/CRAFT-SLM-Reasoning-Framework-Phi3-mini/llama.cpp/examples/eval-callback
# Build directory: D:/Projects/CRAFT - A Framework to Enhance Reasoning Capabilities in Small Language Models/CRAFT-SLM-Reasoning-Framework-Phi3-mini/llama.cpp/build/examples/eval-callback
#
# This file includes the relevant testing commands required for
# testing this directory and lists subdirectories to be tested as well.
add_test("test-eval-callback-download-model" "D:/Program Files/CMake/bin/cmake.exe" "-DDEST=D:/Projects/CRAFT - A Framework to Enhance Reasoning Capabilities in Small Language Models/CRAFT-SLM-Reasoning-Framework-Phi3-mini/llama.cpp/build/tinyllamas/stories15M-q4_0.gguf" "-DNAME=tinyllamas/stories15M-q4_0.gguf" "-DHASH=SHA256=66967fbece6dbe97886593fdbb73589584927e29119ec31f08090732d1861739" "-P" "D:/Projects/CRAFT - A Framework to Enhance Reasoning Capabilities in Small Language Models/CRAFT-SLM-Reasoning-Framework-Phi3-mini/llama.cpp/cmake/download-models.cmake")
set_tests_properties("test-eval-callback-download-model" PROPERTIES FIXTURES_SETUP "test-eval-callback-download-model" _BACKTRACE_TRIPLES "D:/Projects/CRAFT - A Framework to Enhance Reasoning Capabilities in Small Language Models/CRAFT-SLM-Reasoning-Framework-Phi3-mini/llama.cpp/examples/eval-callback/CMakeLists.txt;17;add_test;D:/Projects/CRAFT - A Framework to Enhance Reasoning Capabilities in Small Language Models/CRAFT-SLM-Reasoning-Framework-Phi3-mini/llama.cpp/examples/eval-callback/CMakeLists.txt;0;")
add_test("test-eval-callback" "D:/Projects/CRAFT - A Framework to Enhance Reasoning Capabilities in Small Language Models/CRAFT-SLM-Reasoning-Framework-Phi3-mini/llama.cpp/build/bin/llama-eval-callback.exe" "-m" "D:/Projects/CRAFT - A Framework to Enhance Reasoning Capabilities in Small Language Models/CRAFT-SLM-Reasoning-Framework-Phi3-mini/llama.cpp/build/tinyllamas/stories15M-q4_0.gguf" "--prompt" "hello" "--seed" "42" "-ngl" "0")
set_tests_properties("test-eval-callback" PROPERTIES FIXTURES_REQUIRED "test-eval-callback-download-model" _BACKTRACE_TRIPLES "D:/Projects/CRAFT - A Framework to Enhance Reasoning Capabilities in Small Language Models/CRAFT-SLM-Reasoning-Framework-Phi3-mini/llama.cpp/examples/eval-callback/CMakeLists.txt;24;add_test;D:/Projects/CRAFT - A Framework to Enhance Reasoning Capabilities in Small Language Models/CRAFT-SLM-Reasoning-Framework-Phi3-mini/llama.cpp/examples/eval-callback/CMakeLists.txt;0;")
|