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
| /** | |
| * 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; | |
| } | |