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 Studio
How to use OmnipotentFool/Aurvion with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for OmnipotentFool/Aurvion to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for OmnipotentFool/Aurvion to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for OmnipotentFool/Aurvion to start chatting
- 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: 2,703 Bytes
6b9d0d8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 | <script lang="ts">
import * as AlertDialog from '$lib/components/ui/alert-dialog';
interface Props {
open: boolean;
fileErrorData: {
generallyUnsupported: File[];
modalityUnsupported: File[];
modalityReasons: Record<string, string>;
supportedTypes: string[];
};
onOpenChange?: (open: boolean) => void;
}
let { open = $bindable(), fileErrorData, onOpenChange }: Props = $props();
function handleOpenChange(newOpen: boolean) {
open = newOpen;
onOpenChange?.(newOpen);
}
</script>
<AlertDialog.Root {open} onOpenChange={handleOpenChange}>
<AlertDialog.Portal>
<AlertDialog.Overlay />
<AlertDialog.Content class="flex max-w-md flex-col">
<AlertDialog.Header>
<AlertDialog.Title>File Upload Error</AlertDialog.Title>
<AlertDialog.Description class="text-sm text-muted-foreground">
Some files cannot be uploaded with the current model.
</AlertDialog.Description>
</AlertDialog.Header>
<div class="!max-h-[50vh] min-h-0 flex-1 space-y-4 overflow-y-auto">
{#if fileErrorData.generallyUnsupported.length > 0}
<div class="space-y-2">
<h4 class="text-sm font-medium text-destructive">Unsupported File Types</h4>
<div class="space-y-1">
{#each fileErrorData.generallyUnsupported as file (file.name)}
<div class="rounded-md bg-destructive/10 px-3 py-2">
<p class="font-mono text-sm break-all text-destructive">
{file.name}
</p>
<p class="mt-1 text-xs text-muted-foreground">File type not supported</p>
</div>
{/each}
</div>
</div>
{/if}
{#if fileErrorData.modalityUnsupported.length > 0}
<div class="space-y-2">
<div class="space-y-1">
{#each fileErrorData.modalityUnsupported as file (file.name)}
<div class="rounded-md bg-destructive/10 px-3 py-2">
<p class="font-mono text-sm break-all text-destructive">
{file.name}
</p>
<p class="mt-1 text-xs text-muted-foreground">
{fileErrorData.modalityReasons[file.name] || 'Not supported by current model'}
</p>
</div>
{/each}
</div>
</div>
{/if}
</div>
<div class="rounded-md bg-muted/50 p-3">
<h4 class="mb-2 text-sm font-medium">This model supports:</h4>
<p class="text-sm text-muted-foreground">
{fileErrorData.supportedTypes.join(', ')}
</p>
</div>
<AlertDialog.Footer>
<AlertDialog.Action onclick={() => handleOpenChange(false)}>Got it</AlertDialog.Action>
</AlertDialog.Footer>
</AlertDialog.Content>
</AlertDialog.Portal>
</AlertDialog.Root>
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