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/tools/ui/src/lib/components/app/forms/SearchInput.svelte from OmnipotentFool/Aurvion: direct link, hf CLI and curl.
- Browser
- Download file 1.66 kB
-
https://huggingface.co/OmnipotentFool/Aurvion/resolve/main/llama.cpp/tools/ui/src/lib/components/app/forms/SearchInput.svelte
- Command line
-
hf download hf://OmnipotentFool/Aurvion/llama.cpp/tools/ui/src/lib/components/app/forms/SearchInput.svelte
-
curl -L -o SearchInput.svelte https://huggingface.co/OmnipotentFool/Aurvion/resolve/main/llama.cpp/tools/ui/src/lib/components/app/forms/SearchInput.svelte
1.66 kB
| <script lang="ts"> | |
| import { Input } from '$lib/components/ui/input'; | |
| import { Search, X } from '@lucide/svelte'; | |
| interface Props { | |
| value?: string; | |
| placeholder?: string; | |
| onInput?: (value: string) => void; | |
| onClose?: () => void; | |
| onKeyDown?: (event: KeyboardEvent) => void; | |
| class?: string; | |
| id?: string; | |
| ref?: HTMLInputElement | null; | |
| isCancelAlwaysVisible?: boolean; | |
| } | |
| let { | |
| value = $bindable(''), | |
| placeholder = 'Search...', | |
| onInput, | |
| onClose, | |
| onKeyDown, | |
| class: className, | |
| id, | |
| ref = $bindable(null), | |
| isCancelAlwaysVisible = false | |
| }: Props = $props(); | |
| let showClearButton = $derived(isCancelAlwaysVisible || !!value || !!onClose); | |
| function handleInput(event: Event) { | |
| const target = event.target as HTMLInputElement; | |
| value = target.value; | |
| onInput?.(target.value); | |
| } | |
| function handleClear() { | |
| if (value) { | |
| value = ''; | |
| onInput?.(''); | |
| ref?.focus(); | |
| } else { | |
| onClose?.(); | |
| } | |
| } | |
| </script> | |
| <div class="relative {className}"> | |
| <Search | |
| class="absolute top-1/2 left-3 z-10 h-4 w-4 -translate-y-1/2 transform text-muted-foreground" | |
| /> | |
| <Input | |
| {id} | |
| bind:value | |
| bind:ref | |
| class="pl-9 {showClearButton ? 'pr-9' : ''}" | |
| oninput={handleInput} | |
| onkeydown={onKeyDown} | |
| {placeholder} | |
| type="search" | |
| /> | |
| {#if showClearButton} | |
| <button | |
| type="button" | |
| class="absolute top-1/2 right-3 -translate-y-1/2 transform cursor-pointer text-muted-foreground transition-colors hover:text-foreground" | |
| onclick={handleClear} | |
| aria-label={value ? 'Clear search' : 'Close'} | |
| > | |
| <X class="h-4 w-4" /> | |
| </button> | |
| {/if} | |
| </div> | |