Model HQ

Model HQ v1 Documentation

LATEST

Next-generation AI platform with enhanced features, improved performance, and expanded capabilities

Model HQ v1 represents a significant evolution of the platform, introducing powerful new features while maintaining the core principle of secure, local AI deployment. V1 brings enhanced service composability, expanded integration capabilities, and improved workflows for building sophisticated AI applications.

The v1 architecture enables you to create modular, reusable components through the Services interface, connect to external systems via Integrations, and build complex multi-layered agent systems with well-defined input-output contracts.

LLMWare Model HQ Splash Video
0:32

LLMWare Model HQ Splash Video

Promo
Launch
Model HQ Overview Demo for Intel Devices: 250+ Models + No-Code Agents (Chat, RAG, Vision)
10:25

Model HQ Overview Demo for Intel Devices: 250+ Models + No-Code Agents (Chat, RAG, Vision)

intel
no code
Private On-Device AI on Snapdragon X Elite: Download + Test NPU Models in Model HQ
7:02

Private On-Device AI on Snapdragon X Elite: Download + Test NPU Models in Model HQ

Qualcomm
Snapdragon
Sharing Agents with No Hardware Lock-In on Model HQ (Intel ↔ Qualcomm, Zero Changes)
10:46

Sharing Agents with No Hardware Lock-In on Model HQ (Intel ↔ Qualcomm, Zero Changes)

Intel
Agent
Unlock Hybrid AI: AI PC + API Server
Old8:53

Unlock Hybrid AI: AI PC + API Server

AI PC
API Server
Will It Run? Testing AI PC App on a 5-Year old Laptop
Old13:21

Will It Run? Testing AI PC App on a 5-Year old Laptop

Testing
5 Years Old Machine
Model HQ - Founder's Talk
Old17:02

Model HQ - Founder's Talk

Founders
Vision

Documentation Sections

Chat
Enhanced chat interface with improved model interactions, document parsing, and advanced configuration options.
  • Chat Overview
  • Chat Configuration
  • Document Parsing Issues
  • Error Handling
Agents
Build, run, and manage intelligent AI agents with the Visual Builder, Multi-Step, and Prompting modes — including batch processing and 60+ agent services.
  • Agents Overview
  • Create New Agent
  • Edit Agent
  • Agent Visual Builder
  • Batch Processing
  • Agent Services
Bots
Build and deploy intelligent bots with enhanced capabilities and improved management features.
  • Bots Overview
  • Building a Bot
  • Editing a Bot
Models
Discover, configure, and test AI models optimized for Intel and Qualcomm processors with custom testing capabilities.
  • Models Overview
  • Model Configuration
  • Create Custom Test
  • Microsoft Foundry
Source (RAG)
Advanced document processing and retrieval-augmented generation with improved parsing and error handling.
  • Source Overview
  • Parsing in Source
  • Error Handling
Dataset
Work with structured CSV, XLSX, and JSON data — enabling AI agents to search, classify, analyze, and predict across table-based data.
  • Creating a Dataset
  • Field Mapping
  • RAG Columns
  • ID Column
  • KPI Definition
  • Analyze
Services
Create reusable service components for agent workflows including Agent Services, REST APIs, and MCP integrations.
  • Services Interface
  • Agent Services
  • REST API Services
  • MCP Services
Integrations
Connect external services, cloud platforms, search engines, productivity tools, and AI model providers to Model HQ.
  • Integrations Interface
  • Cloud Services
  • AI Providers
  • Productivity Tools
Configs & Tools
Comprehensive configuration controls and powerful tools for managing Model HQ behavior, appearance, and functionality.
  • Configure
  • Tools
Shutdown
Best practices for safely closing Model HQ v1 and ensuring data integrity and system stability.
  • Safe Shutdown
  • Data Preservation
  • Best Practices
Getting Started

Essential resources to begin your Model HQ v1 journey:

System Configuration

Configure environment and requirements

Getting Started Guide

Setup and initial configuration

What's New in V1
  • Services Architecture: Create reusable components for agent workflows
  • Integrations: Connect 19+ external services and platforms
  • Enhanced Source/RAG: Improved document processing and parsing
  • MCP Support: Model Context Protocol integration (Beta)
Looking for Cookbooks?

Step-by-step recipes and real-world v1 examples will be added to the Cookbooks section as they become available.

Browse v1 Cookbooks

Need Help?

Our team is here to guide you through Model HQ v1.

Contact Support →