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/dialogs/DialogEmptyFileAlert.svelte from OmnipotentFool/Aurvion: direct link, hf CLI and curl.
- Browser
- Download file 1.79 kB
-
https://huggingface.co/OmnipotentFool/Aurvion/resolve/main/llama.cpp/tools/ui/src/lib/components/app/dialogs/DialogEmptyFileAlert.svelte
- Command line
-
hf download hf://OmnipotentFool/Aurvion/llama.cpp/tools/ui/src/lib/components/app/dialogs/DialogEmptyFileAlert.svelte
-
curl -L -o DialogEmptyFileAlert.svelte https://huggingface.co/OmnipotentFool/Aurvion/resolve/main/llama.cpp/tools/ui/src/lib/components/app/dialogs/DialogEmptyFileAlert.svelte
1.79 kB
| <script lang="ts"> | |
| import * as AlertDialog from '$lib/components/ui/alert-dialog'; | |
| import { FileX } from '@lucide/svelte'; | |
| interface Props { | |
| open: boolean; | |
| emptyFiles: string[]; | |
| onOpenChange?: (open: boolean) => void; | |
| } | |
| let { open = $bindable(), emptyFiles, onOpenChange }: Props = $props(); | |
| function handleOpenChange(newOpen: boolean) { | |
| open = newOpen; | |
| onOpenChange?.(newOpen); | |
| } | |
| </script> | |
| <AlertDialog.Root {open} onOpenChange={handleOpenChange}> | |
| <AlertDialog.Content> | |
| <AlertDialog.Header> | |
| <AlertDialog.Title class="flex items-center gap-2"> | |
| <FileX class="h-5 w-5 text-destructive" /> | |
| Empty Files Detected | |
| </AlertDialog.Title> | |
| <AlertDialog.Description> | |
| The following files are empty and have been removed from your attachments: | |
| </AlertDialog.Description> | |
| </AlertDialog.Header> | |
| <div class="space-y-3 text-sm"> | |
| <div class="rounded-lg bg-muted p-3"> | |
| <div class="mb-2 font-medium">Empty Files:</div> | |
| <ul class="list-inside list-disc space-y-1 text-muted-foreground"> | |
| {#each emptyFiles as fileName (fileName)} | |
| <li class="font-mono text-sm">{fileName}</li> | |
| {/each} | |
| </ul> | |
| </div> | |
| <div> | |
| <div class="mb-2 font-medium">What happened:</div> | |
| <ul class="list-inside list-disc space-y-1 text-muted-foreground"> | |
| <li>Empty files cannot be processed or sent to the AI model</li> | |
| <li>These files have been automatically removed from your attachments</li> | |
| <li>You can try uploading files with content instead</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <AlertDialog.Footer> | |
| <AlertDialog.Action onclick={() => handleOpenChange(false)}>Got it</AlertDialog.Action> | |
| </AlertDialog.Footer> | |
| </AlertDialog.Content> | |
| </AlertDialog.Root> | |