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

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

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

Aurvion / llama.cpp /tools /ui /src /lib /utils /attachment-display.ts

OmnipotentFool

Add files using upload-large-folder tool

6b9d0d8 verified 4 months ago

Raw History Blame Contribute Delete

2.6 kB

import { AttachmentType, FileTypeCategory, SpecialFileType } from '$lib/enums';
import { getFileTypeCategory, getFileTypeCategoryByExtension, isImageFile } from '$lib/utils';
import type {
	AttachmentDisplayItemsOptions,
	ChatAttachmentDisplayItem,
	ChatUploadedFile
} from '$lib/types';

/**
 * Check if a display item represents an MCP prompt
 * (either from attachment type or uploaded file with mcpPrompt metadata)
 */
export function isMcpPrompt(item: ChatAttachmentDisplayItem): boolean {
	if (item.attachment?.type === AttachmentType.MCP_PROMPT) {
		return true;
	}
	if (item.uploadedFile?.type === SpecialFileType.MCP_PROMPT && item.uploadedFile.mcpPrompt) {
		return true;
	}
	return false;
}

/**
 * Check if a display item represents an MCP resource
 */
export function isMcpResource(item: ChatAttachmentDisplayItem): boolean {
	return item.attachment?.type === AttachmentType.MCP_RESOURCE;
}

/**
 * Gets the file type category from an uploaded file, checking both MIME type and extension
 */
function getUploadedFileCategory(file: ChatUploadedFile): FileTypeCategory | null {
	const categoryByMime = getFileTypeCategory(file.type);

	if (categoryByMime) {
		return categoryByMime;
	}

	return getFileTypeCategoryByExtension(file.name);
}

/**
 * Creates a unified list of display items from uploaded files and stored attachments.
 * Items are returned in reverse order (newest first).
 */
export function getAttachmentDisplayItems(
	options: AttachmentDisplayItemsOptions
): ChatAttachmentDisplayItem[] {
	const { uploadedFiles = [], attachments = [] } = options;
	const items: ChatAttachmentDisplayItem[] = [];

	// Add uploaded files (ChatForm)
	for (const file of uploadedFiles) {
		items.push({
			id: file.id,
			name: file.name,
			size: file.size,
			preview: file.preview,
			isImage: getUploadedFileCategory(file) === FileTypeCategory.IMAGE,
			isLoading: file.isLoading,
			loadError: file.loadError,
			uploadedFile: file,
			textContent: file.textContent
		});
	}

	// Add stored attachments (ChatMessage)
	for (const [index, attachment] of attachments.entries()) {
		const isImage = isImageFile(attachment);

		items.push({
			id: `attachment-${index}`,
			name: attachment.name,
			size: 'size' in attachment ? attachment.size : undefined,
			preview: isImage && 'base64Url' in attachment ? attachment.base64Url : undefined,
			isImage,
			attachment,
			attachmentIndex: index,
			textContent: 'content' in attachment ? attachment.content : undefined
		});
	}

	return items.reverse();
}

	import { AttachmentType, FileTypeCategory, SpecialFileType } from '$lib/enums';
	import { getFileTypeCategory, getFileTypeCategoryByExtension, isImageFile } from '$lib/utils';
	import type {
	AttachmentDisplayItemsOptions,
	ChatAttachmentDisplayItem,
	ChatUploadedFile
	} from '$lib/types';

	/**
	* Check if a display item represents an MCP prompt
	* (either from attachment type or uploaded file with mcpPrompt metadata)
	*/
	export function isMcpPrompt(item: ChatAttachmentDisplayItem): boolean {
	if (item.attachment?.type === AttachmentType.MCP_PROMPT) {
	return true;
	}
	if (item.uploadedFile?.type === SpecialFileType.MCP_PROMPT && item.uploadedFile.mcpPrompt) {
	return true;
	}
	return false;
	}

	/**
	* Check if a display item represents an MCP resource
	*/
	export function isMcpResource(item: ChatAttachmentDisplayItem): boolean {
	return item.attachment?.type === AttachmentType.MCP_RESOURCE;
	}

	/**
	* Gets the file type category from an uploaded file, checking both MIME type and extension
	*/
	function getUploadedFileCategory(file: ChatUploadedFile): FileTypeCategory \| null {
	const categoryByMime = getFileTypeCategory(file.type);

	if (categoryByMime) {
	return categoryByMime;
	}

	return getFileTypeCategoryByExtension(file.name);
	}

	/**
	* Creates a unified list of display items from uploaded files and stored attachments.
	* Items are returned in reverse order (newest first).
	*/
	export function getAttachmentDisplayItems(
	options: AttachmentDisplayItemsOptions
	): ChatAttachmentDisplayItem[] {
	const { uploadedFiles = [], attachments = [] } = options;
	const items: ChatAttachmentDisplayItem[] = [];

	// Add uploaded files (ChatForm)
	for (const file of uploadedFiles) {
	items.push({
	id: file.id,
	name: file.name,
	size: file.size,
	preview: file.preview,
	isImage: getUploadedFileCategory(file) === FileTypeCategory.IMAGE,
	isLoading: file.isLoading,
	loadError: file.loadError,
	uploadedFile: file,
	textContent: file.textContent
	});
	}

	// Add stored attachments (ChatMessage)
	for (const [index, attachment] of attachments.entries()) {
	const isImage = isImageFile(attachment);

	items.push({
	id: `attachment-${index}`,
	name: attachment.name,
	size: 'size' in attachment ? attachment.size : undefined,
	preview: isImage && 'base64Url' in attachment ? attachment.base64Url : undefined,
	isImage,
	attachment,
	attachmentIndex: index,
	textContent: 'content' in attachment ? attachment.content : undefined
	});
	}

	return items.reverse();
	}