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: 1,673 Bytes
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"name": "@napi-rs/wasm-runtime",
"version": "1.1.4",
"type": "module",
"description": "Runtime and polyfill for wasm targets",
"homepage": "https://napi.rs/",
"author": {
"name": "LongYinan",
"url": "https://github.com/Brooooooklyn"
},
"repository": {
"type": "git",
"url": "git+https://github.com/napi-rs/napi-rs.git",
"directory": "wasm-runtime"
},
"license": "MIT",
"publishConfig": {
"registry": "https://registry.npmjs.org/",
"access": "public"
},
"files": [
"runtime.cjs",
"runtime.js",
"fs-proxy.js",
"dist/*.cjs",
"dist/*.js"
],
"devDependencies": {
"@rollup/plugin-alias": "^6.0.0",
"@rollup/plugin-commonjs": "^29.0.0",
"@rollup/plugin-inject": "^5.0.5",
"@rollup/plugin-json": "^6.1.0",
"@rollup/plugin-node-resolve": "^16.0.3",
"@rollup/plugin-replace": "^6.0.3",
"buffer": "^6.0.3",
"events": "^3.3.0",
"memfs": "^4.50.0",
"node-inspect-extracted": "^3.2.2",
"path-browserify": "^1.0.1",
"process": "^0.11.10",
"readable-stream": "^4.7.0",
"rollup": "^4.53.1",
"rollup-plugin-polyfill-node": "^0.13.0",
"tslib": "^2.8.1"
},
"dependencies": {
"@tybys/wasm-util": "^0.10.1"
},
"peerDependencies": {
"@emnapi/core": "^1.7.1",
"@emnapi/runtime": "^1.7.1"
},
"scripts": {
"build": "rollup -c rollup.config.js",
"test": "node --test"
},
"funding": {
"type": "github",
"url": "https://github.com/sponsors/Brooooooklyn"
},
"exports": {
".": {
"import": "./runtime.js",
"require": "./runtime.cjs"
},
"./fs": {
"import": "./dist/fs.js"
}
}
}
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