🤖 WP LLM Models

WP LLM offers multiple model variants optimized for different use cases, from lightweight development to enterprise-grade WordPress code generation.

Model Overview

WP LLM models are specifically trained on WordPress codebases, documentation, and development patterns. Each model variant offers different trade-offs between speed, accuracy, and resource requirements.

Key Characteristics

• WordPress-Specific Training: Trained exclusively on WordPress code and documentation
• Production-Ready Output: Generates code that follows WordPress standards
• Security-First: Built-in security best practices and validation
• Performance Optimized: Efficient inference for development workflows

Model Architecture

All WP LLM models use transformer architecture optimized for code generation:

• Context Window: 8K tokens for comprehensive code generation
• Training Data: WordPress core, plugins, themes, and documentation
• Fine-tuning: Specialized for WordPress development patterns
• Safety: Built-in content filtering and security validation

Available Models

WP LLM 7B

Best for: Quick prototyping and development

Specifications:

• Parameters: 7 billion
• Memory: 4GB RAM
• Speed: ~15 tokens/second
• Accuracy: 85% for common tasks

Use Cases:

• Rapid prototyping
• Simple custom post types
• Basic Gutenberg blocks
• Development environments with limited resources

Example Usage:

bash

ollama run wp-llm:7b "Create a simple contact form shortcode"

WP LLM 13B

Best for: Production development and complex tasks

Specifications:

• Parameters: 13 billion
• Memory: 8GB RAM
• Speed: ~10 tokens/second
• Accuracy: 92% for complex tasks

Use Cases:

• Production code generation
• Complex plugin development
• Advanced Gutenberg blocks
• REST API development

Example Usage:

bash

ollama run wp-llm:13b "Create a complete e-commerce plugin with custom post types, REST API, and Gutenberg blocks"

WP LLM 70B

Best for: Enterprise development and maximum accuracy

Specifications:

• Parameters: 70 billion
• Memory: 32GB RAM
• Speed: ~5 tokens/second
• Accuracy: 96% for enterprise tasks

Use Cases:

• Enterprise WordPress development
• Complex system architecture
• Advanced security implementations
• Performance-critical applications

Example Usage:

bash

ollama run wp-llm:70b "Create a multi-tenant WordPress plugin with advanced security, caching, and API management"

Model Capabilities

Code Generation

All WP LLM models excel at generating WordPress code:

• Custom Post Types: Complete registration with labels, capabilities, and REST API support
• Gutenberg Blocks: React/JSX blocks with server-side rendering
• REST API Endpoints: Secure, authenticated endpoints with validation
• Plugin Architecture: Complete plugin structure with activation/deactivation hooks
• Theme Development: Template hierarchy and custom functions
• Security Implementation: Nonce verification, capability checks, and sanitization

Code Analysis

Advanced code understanding and improvement:

• Code Review: Identify security vulnerabilities and performance issues
• Refactoring: Suggest improvements to existing WordPress code
• Documentation: Generate comprehensive PHPDoc comments
• Testing: Create unit tests and integration tests
• Migration: Help migrate between WordPress versions

Block Development

Specialized Gutenberg block generation:

• Dynamic Blocks: Server-side rendering with PHP
• Static Blocks: Pure React/JSX components
• Block Patterns: Reusable block combinations
• Block Variations: Multiple block styles and configurations
• Block Transforms: Convert between block types

Performance Characteristics

Speed vs Quality Trade-offs

Choose the right model for your needs:

Model	Speed	Quality	Memory	Use Case
7B	Fast	Good	4GB	Prototyping
13B	Medium	Better	8GB	Production
70B	Slow	Best	32GB	Enterprise

Token Usage Optimization

Maximize efficiency with proper prompting:

• Be Specific: Detailed prompts reduce token waste
• Use Context: Reference existing code for better results
• Batch Requests: Combine related tasks in single prompts
• Cache Results: Store generated code for reuse

Temperature Settings

Control creativity vs consistency:

• Low (0.1-0.3): Consistent, predictable output
• Medium (0.4-0.7): Balanced creativity and consistency
• High (0.8-1.0): Creative, varied solutions

Training Data Sources

WordPress Ecosystem

Comprehensive training on WordPress components:

• WordPress Core: Complete source code and documentation
• Plugin Repository: 60,000+ plugins from WordPress.org
• Theme Repository: 10,000+ themes with various architectures
• Developer Documentation: Codex, developer handbook, and API references
• Security Guidelines: WordPress security best practices and guidelines

Code Quality Standards

Training on high-quality WordPress code:

• WordPress Coding Standards: PSR compliance and WordPress-specific rules
• Security Best Practices: Sanitization, validation, and capability checks
• Performance Optimization: Query optimization and caching strategies
• Accessibility Standards: WCAG compliance and inclusive design

Model Limitations

Current Limitations

Understanding model constraints:

• Context Window: Limited to 8K tokens per request
• Real-time Data: Cannot access current WordPress version changes
• Custom Codebases: May not understand highly customized implementations
• Third-party Integrations: Limited knowledge of external services

Mitigation Strategies

Work around limitations effectively:

• Break Down Tasks: Split complex requests into smaller parts
• Provide Context: Include relevant code snippets and documentation
• Iterative Development: Build and refine code incrementally
• Manual Review: Always review generated code before production use

Model Comparison

vs Generic LLMs

WordPress-specific advantages:

Feature	Generic LLMs	WP LLM
WordPress Knowledge	Limited	Deep expertise
Code Quality	Variable	Consistently high
Security	Basic	WordPress-specific
Performance	Generic	WordPress-optimized
Standards	Generic	WordPress standards

vs Other Code LLMs

Specialized WordPress focus:

Feature	Code LLMs	WP LLM
WordPress Focus	Limited	Exclusive
Gutenberg Support	Basic	Advanced
REST API	Generic	WordPress-specific
Security	General	WordPress security
Performance	Generic	WordPress optimization

Best Practices

Model Selection

Choose the right model for your project:

• Start with 7B: For learning and simple tasks
• Upgrade to 13B: For production development
• Use 70B: For enterprise and complex systems

Prompt Engineering

Optimize your prompts for better results:

• Be Specific: Include detailed requirements and constraints
• Provide Context: Reference existing code and WordPress version
• Use Examples: Include sample code for similar functionality
• Iterate: Refine prompts based on generated output

Quality Assurance

Ensure generated code meets standards:

• Code Review: Always review generated code
• Testing: Test in development environment
• Security Check: Verify security implementations
• Performance Test: Validate performance characteristics

Future Roadmap

Upcoming Models

Planned model improvements:

• WP LLM 7B v2: Improved accuracy with same resource requirements
• WP LLM 13B v2: Enhanced performance and capabilities
• WP LLM 70B v2: Maximum accuracy and enterprise features

Feature Enhancements

New capabilities in development:

• Multi-modal Support: Image and code generation
• Real-time Updates: Live WordPress version integration
• Custom Training: Project-specific model fine-tuning
• Advanced Security: Enhanced security validation and scanning

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Ready to choose your WP LLM model? Start with the Quick Start Guide to get up and running with the model that best fits your needs!