Zontroy AI
  • 🖌️Getting started with Zontroy AI
  • INTRODUCTION
    • Zontroy AI
    • Why Choose Zontroy AI?
      • Free AI Models Integration
      • Free for Students
      • Technical Advantages
      • The Developer's Choice
    • Zontroy AI Quick Start
    • Zontroy AI Chat
    • Zontroy AI Collaborator
    • Zontroy AI Peerer
    • Zontroy AI Model Context Protocol (MCP)
  • Zontroy Offline Code Generator
    • Zontroy Offline Code Generator
      • Oprazi .zproject file for MSSQL
      • CrudwithGo .zproject file for MySQL
      • Course-management .zproject file for Entity
      • JavaCodeGenerator .zproject file for PostgreSQL
    • Zontroy AI Offline File Types
      • Zontroy AI Offline Single File
      • Zontroy AI Offline Repeating File
      • Zontroy AI Offline Inner Repeating File
    • Zontroy AI Offline Code Generator Tutorial
      • Zontroy Syntax
      • zg-entity
      • zg-entities
      • zg-if
      • zg-for
      • Data Type Conversion
      • Built-in Functions
  • Zontroy AI Models
    • Supported AI Models
      • OpenAI
      • Anthropic (Claude)
      • DeepSeek
      • Google (Gemini)
      • Qwen
      • xAI
      • Llama
      • OpenRouter
    • Selecting the Optimal Model for Different Tasks
  • Zontroy AI How To
    • Javascript
    • Typescript
    • Java
    • Python
    • CSharp
    • PHP
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  1. Zontroy AI Models
  2. Supported AI Models

Llama

Llama models provide strong open-source alternatives with particular strengths in systems programming and performance optimization. Supported Models: - Llama3.3-70b: A large, powerful model with comprehensive capabilities across multiple domains. - Llama3.2-3b: A compact, efficient model suitable for simpler tasks and quick interactions. - Llama3.1-405b: An extremely large model offering state-of-the-art performance for complex tasks. - Llama3.1-70b: A balanced model providing strong performance across most development scenarios. - Llama3.1-8b: A more efficient model that balances performance with resource utilization. - Llama3-8b: A compact model focused on efficiency while maintaining good output quality. Strengths: - Excellent performance for systems programming languages like C, C++, and Rust - Strong capabilities for performance optimization and low-level programming - Good understanding of memory management and resource utilization - Effective for embedded systems and IoT development - Balanced performance across multiple programming paradigms.

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Last updated 1 month ago