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
Aurvion / llama.cpp /build /tools /ui /ui-src /node_modules /@babel /plugin-syntax-unicode-sets-regex /package.json
Download llama.cpp/build/tools/ui/ui-src/node_modules/@babel/plugin-syntax-unicode-sets-regex/package.json from OmnipotentFool/Aurvion: direct link, hf CLI and curl.
- Browser
- Download file 1.23 kB
-
https://huggingface.co/OmnipotentFool/Aurvion/resolve/main/llama.cpp/build/tools/ui/ui-src/node_modules/%40babel/plugin-syntax-unicode-sets-regex/package.json
- Command line
-
hf download hf://OmnipotentFool/Aurvion/llama.cpp/build/tools/ui/ui-src/node_modules/@babel/plugin-syntax-unicode-sets-regex/package.json
-
curl -L -o package.json https://huggingface.co/OmnipotentFool/Aurvion/resolve/main/llama.cpp/build/tools/ui/ui-src/node_modules/%40babel/plugin-syntax-unicode-sets-regex/package.json
1.23 kB
| { | |
| "name": "@babel/plugin-syntax-unicode-sets-regex", | |
| "version": "7.18.6", | |
| "description": "Parse regular expressions' unicodeSets (v) flag.", | |
| "homepage": "https://babel.dev/docs/en/next/babel-plugin-syntax-unicode-sets-regex", | |
| "license": "MIT", | |
| "publishConfig": { | |
| "access": "public" | |
| }, | |
| "main": "./lib/index.js", | |
| "keywords": [ | |
| "babel-plugin", | |
| "regex", | |
| "regexp", | |
| "unicode", | |
| "sets", | |
| "properties", | |
| "property", | |
| "string", | |
| "strings", | |
| "regular expressions" | |
| ], | |
| "repository": { | |
| "type": "git", | |
| "url": "https://github.com/babel/babel.git", | |
| "directory": "packages/babel-plugin-syntax-unicode-sets-regex" | |
| }, | |
| "bugs": "https://github.com/babel/babel/issues", | |
| "dependencies": { | |
| "@babel/helper-create-regexp-features-plugin": "^7.18.6", | |
| "@babel/helper-plugin-utils": "^7.18.6" | |
| }, | |
| "peerDependencies": { | |
| "@babel/core": "^7.0.0" | |
| }, | |
| "devDependencies": { | |
| "@babel/core": "^7.18.6", | |
| "@babel/helper-plugin-test-runner": "^7.18.6" | |
| }, | |
| "author": "The Babel Team (https://babel.dev/team)", | |
| "exports": { | |
| ".": "./lib/index.js", | |
| "./package.json": "./package.json" | |
| }, | |
| "engines": { | |
| "node": ">=6.9.0" | |
| }, | |
| "type": "commonjs" | |
| } |