Instructions to use Aliguinga01/rule_violation2 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 Aliguinga01/rule_violation2 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 Aliguinga01/rule_violation2:F16 # Run inference directly in the terminal: llama cli -hf Aliguinga01/rule_violation2:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Aliguinga01/rule_violation2:F16 # Run inference directly in the terminal: llama cli -hf Aliguinga01/rule_violation2:F16
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 Aliguinga01/rule_violation2:F16 # Run inference directly in the terminal: ./llama-cli -hf Aliguinga01/rule_violation2:F16
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 Aliguinga01/rule_violation2:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Aliguinga01/rule_violation2:F16
Use Docker
docker model run hf.co/Aliguinga01/rule_violation2:F16
- LM Studio
- Jan
- Ollama
How to use Aliguinga01/rule_violation2 with Ollama:
ollama run hf.co/Aliguinga01/rule_violation2:F16
- Unsloth Studio
How to use Aliguinga01/rule_violation2 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 Aliguinga01/rule_violation2 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 Aliguinga01/rule_violation2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Aliguinga01/rule_violation2 to start chatting
- Docker Model Runner
How to use Aliguinga01/rule_violation2 with Docker Model Runner:
docker model run hf.co/Aliguinga01/rule_violation2:F16
- Lemonade
How to use Aliguinga01/rule_violation2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Aliguinga01/rule_violation2:F16
Run and chat with the model
lemonade run user.rule_violation2-F16
List all available models
lemonade list
- Atomic Chat
File size: 2,873 Bytes
4d35814 | 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 90 91 92 93 94 95 96 97 98 | /**
* Text file processing utilities
* Handles text file detection, reading, and validation
*/
import {
DEFAULT_BINARY_DETECTION_OPTIONS,
type BinaryDetectionOptions
} from '$lib/constants/binary-detection';
import { FileExtensionText } from '$lib/enums/files';
/**
* Check if a filename indicates a text file based on its extension
* @param filename - The filename to check
* @returns True if the filename has a recognized text file extension
*/
export function isTextFileByName(filename: string): boolean {
const textExtensions = Object.values(FileExtensionText);
return textExtensions.some((ext: FileExtensionText) => filename.toLowerCase().endsWith(ext));
}
/**
* Read a file's content as text
* @param file - The file to read
* @returns Promise resolving to the file's text content
*/
export async function readFileAsText(file: File): Promise<string> {
return new Promise((resolve, reject) => {
const reader = new FileReader();
reader.onload = (event) => {
if (event.target?.result !== null && event.target?.result !== undefined) {
resolve(event.target.result as string);
} else {
reject(new Error('Failed to read file'));
}
};
reader.onerror = () => reject(new Error('File reading error'));
reader.readAsText(file);
});
}
/**
* Heuristic check to determine if content is likely from a text file
* Detects binary files by counting suspicious characters and null bytes
* @param content - The file content to analyze
* @param options - Optional configuration for detection parameters
* @returns True if the content appears to be text-based
*/
export function isLikelyTextFile(
content: string,
options: Partial<BinaryDetectionOptions> = {}
): boolean {
if (!content) return true;
const config = { ...DEFAULT_BINARY_DETECTION_OPTIONS, ...options };
const sample = content.substring(0, config.prefixLength);
let nullCount = 0;
let suspiciousControlCount = 0;
for (let i = 0; i < sample.length; i++) {
const charCode = sample.charCodeAt(i);
// Count null bytes - these are strong indicators of binary files
if (charCode === 0) {
nullCount++;
continue;
}
// Count suspicious control characters
// Allow common whitespace characters: tab (9), newline (10), carriage return (13)
if (charCode < 32 && charCode !== 9 && charCode !== 10 && charCode !== 13) {
// Count most suspicious control characters
if (charCode < 8 || (charCode > 13 && charCode < 27)) {
suspiciousControlCount++;
}
}
// Count replacement characters (indicates encoding issues)
if (charCode === 0xfffd) {
suspiciousControlCount++;
}
}
// Reject if too many null bytes
if (nullCount > config.maxAbsoluteNullBytes) return false;
// Reject if too many suspicious characters
if (suspiciousControlCount / sample.length > config.suspiciousCharThresholdRatio) return false;
return true;
}
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