openledger
  • Openledger Ecosystem
    • What is Openledger?
    • Test Network Overview
      • Block Production and Execution
        • Data Availability via EigenDA
        • Bridging and Settlement
    • Data Intelligence Layer
  • Testnet
    • Node Installation
      • Android
      • Windows
      • Chrome Extension
      • Linux (Ubuntu)
    • Earning Mechanism
      • Network Earnings
      • Referral Earnings
      • Tier System and Progression
  • Epoch 2
  • DATANETS AND PROOF OF ATTRIBUTION
    • What is Datanets?
    • Why Specialized Data is important?
    • Proof of Attribution
    • OpenLedger Data Attribution Pipeline
    • RAG Attribution
  • Token
    • Openledger Token
  • Model Factory
    • ModelFactory: Where AI Meets Secure Data Fine-Tuning
    • Core Concepts
    • Supported Models
    • System Architecture
    • Key Features
    • Benchmarks
  • OpenLora
    • Open LoRA: A Scalable Fine-Tuned Model Serving Framework
    • System Architecture
    • Workflow
    • Optimizations & Performance Enhancements
    • Use Cases
    • API & Integration
    • The Future
  • Community Support
    • Openledger communities
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  1. Model Factory

Key Features

User-Friendly Interface

  • Fully GUI-based; eliminates the need for CLI or API interactions.

  • Simple workflows for non-technical users.

Secure Dataset Management

  • Permission-based dataset access ensures data security.

  • Seamless integration with OpenLedger’s dataset repository.

Comprehensive Model Support

  • Compatible with a broad range of LLMs.

  • Optimized for various fine-tuning techniques (LoRA, QLoRA, full fine-tuning).

Live Training Analytics

  • Interactive dashboards for monitoring training metrics.

Chat Interface for Fine-Tuned Models

  • Direct interaction with models for testing or deployment scenarios.

  • Real-time response capabilities for various tasks.

RAG Attribution for Source Transparency

  • Combines retrieval-based methods with generated outputs.

  • Displays sources for user queries to ensure transparency and accountability.

Scalable & Modular Architecture

  • Extensible modules for dataset access, training, and evaluation.

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Last updated 2 months ago