PromptPDF leverages multiple state-of-the-art AI models to generate high-quality documents. Each model has different strengths and is optimized for different types of content.

Available Models

Qwen QwQ 32B

A high-performance model for general document generation with excellent language capabilities.

• Best for: General-purpose document generation, formal letters, reports
• Strengths: Well-balanced performance, good formatting, natural language
• Size: 32 billion parameters

DeepSeek R1 Zero

Specialized in reasoning tasks and complex documents with detailed explanations.

• Best for: Academic papers, technical documentation, complex reports
• Strengths: Logical reasoning, structured content, detailed explanations
• Special feature: Provides reasoning process for document generation

OlympicCoder 32B

Powerful model for structured content with excellent formatting capabilities.

• Best for: Code documentation, technical reports, structured documents
• Strengths: Precise formatting, technical accuracy, structured output
• Size: 32 billion parameters

OlympicCoder 7B

A more efficient version of OlympicCoder with good performance for simpler documents.

• Best for: Simpler structured documents, quick generation
• Strengths: Fast generation, good formatting, efficient
• Size: 7 billion parameters

Gemma 3 27B

Google's advanced document generation model with excellent language capabilities.

• Best for: Creative content, business documents, general use
• Strengths: Natural language, good formatting, versatile
• Size: 27 billion parameters

Gemma 3 4B

Lightweight model for quick document creation with good quality.

• Best for: Simple documents, quick generation
• Strengths: Fast generation, efficient, good for basic documents
• Size: 4 billion parameters

Dolphin Mistral 24B

Specialized in detailed document formatting with excellent structure.

• Best for: Formal documents, legal documents, structured content
• Strengths: Precise formatting, professional tone, attention to detail
• Size: 24 billion parameters

Mistral Small 24B

Balanced performance for document creation with good language capabilities.

• Best for: General document generation, balanced performance
• Strengths: Good formatting, natural language, versatile
• Size: 24 billion parameters

Llama 3.1 Nemotron 70B

NVIDIA's high-capacity document model with excellent language capabilities.

• Best for: Complex documents, creative content, detailed output
• Strengths: High-quality output, detailed content, versatile
• Size: 70 billion parameters

Choosing the Right Model

When selecting an AI model for your document, consider:

• Document complexity: More complex documents benefit from larger models like Qwen QwQ 32B or Llama 3.1 Nemotron 70B
• Document type: Technical documents work well with OlympicCoder models, while creative content may benefit from Gemma models
• Generation speed: Smaller models like Gemma 3 4B or OlympicCoder 7B generate content faster
• Formatting needs: For precise formatting, consider Dolphin Mistral 24B or OlympicCoder 32B

Model Performance

Model performance can vary based on:

• Prompt specificity: More detailed prompts generally yield better results across all models
• Document length: Longer documents may benefit from larger models with more context capacity
• Technical content: Specialized models may perform better for technical or domain-specific content

Using Models Effectively

To get the best results from AI models:

• Provide clear, detailed prompts with specific information
• Specify the tone, style, and format you want in your prompt
• Review and edit generated content for accuracy and completeness
• Try different models for different document types to find what works best

Next, learn about Editing Documents to refine your AI-generated content.