Alauda AI
  • English

    • Feature Introduction

    The core definition of the model repository feature is to provide a Git-based version-controlled storage system for machine learning models, enabling teams to manage model files, track versions, and collaborate across tenants. It leverages Git LFS for large file storage and integrates with MLOps workflows to bridge model development and deployment.

    TOC

    Advantages

    1. Git-native Version Control
      • Track model changes via commits/branches/tags, ensuring reproducibility.
    2. High-Speed Transfers
      • CLI/Notebook uploads leverage internal network bandwidth (e.g., AML Notebooks同机房加速).
    3. Cross-Tenant Sharing
      • Shared models can be accessed across namespaces (e.g., public as a model marketplace).
    4. Seamless Integration
      • Directly deploy models from the repository to inference services.

    Applicable Scenarios

    • Team Collaboration
      • Multiple data scientists concurrently update and version models in the same repository.
    • Model Auditing
      • Trace historical versions via Git commits/tags for compliance.
    • Centralized Asset Management
      • Organize private/shared models in a unified hub with metadata (e.g., tags/descriptions).

    Value Brought

    • Reproducibility
      • Pin model versions via tags (e.g., production/v1.2) to avoid training-serving skew.
    • Efficiency
      • CLI uploads bypass browser limitations for large files (>10GB).
    • Security
      • Tenant isolation via GitLab credentials prevents unauthorized access.
    • Cost Reduction
      • Eliminate redundant storage by reusing shared models (e.g., public BERT weights).

    Main Features

    Model Repository Creation & Deletion

    • Create an empty Git-backed repository with metadata (name/description/visibility).
    • Delete models after dependency checks (e.g., ensure no active inference services).

    File Management

    • Web UI Upload
      • Drag-and-drop files/folders (limited to small/medium sizes).
    • CLI/Git LFS
      • Use git lfs track for large files (e.g., *.bin, *.h5).
      • Example: 
        git clone <model_repo_url>
git lfs install
cp ~/local_model/* . && git add . && git commit -m "v1.0" && git push

    Version Control

    • Branching
      • Maintain parallel versions (e.g., experimental vs main branches).
    • Tagging
      • Mark releases via UI/CLI (e.g., git tag -a v2.0 -m "Stable release").
    • Metadata Sync
      • Auto-read README.md from the default branch for model descriptions.

    Cross-Tenant Sharing

    • Shared Models
      • Set visibility to "Shared" during creation for inter-tenant access.
    • Public Marketplace
      • Use public namespace to publish open-source models (e.g., HuggingFace conversions).

    Integration with MLOps

    • Deployment Ready
      • One-click inference service launch from tagged model versions.
    • Notebook Integration
      • Pull models directly into AML Notebooks for testing: 
        !git clone https://aml-public/resnet50.git

    Technical Notes

    • Git LFS Requirement
      • Must include .gitattributes to specify LFS-tracked files (e.g., *.zip filter=lfs diff=lfs merge=lfs).
    • Default Branch Rules
      • Misconfigured README.md metadata may block inference deployment.

    Create Model Repository

    Step 1

    ParametersDescription
    NameRequired, Model Repository Name.
    LabelsCustom tags for categorization and search. (e.g., "CV", "NLP", "production")
    DescriptionDetailed explanation of the repository's purpose, model type, or usage guidelines.

    Step 2

    Create an empty Repository.

    Step 3

    Upload Model Files

    You may upload model files through either of the following methods:

    Option 1: Web UI Upload

    • Use the File Management interface to upload files
    • Drag and drop files/folders into the designated area
    • Supported formats: All model file types (.h5, .bin, .pt, etc.)
    • Progress tracking with real-time upload status

    Option 2: Git Command Line Upload

    1. Get Repository Address:
    • Navigate to Detail Info → Basic Info
    • Copy the Git repository URL (e.g., https://<your-domain>/<namespace>/<repo-name>.git)

    1. Upload via Git:

      
# Clone the repository
git clone <repository-url>

# Navigate to repo directory
cd <repo-name>

# Initialize Git LFS (if not already set up)
git lfs install

# Add model files (replace with your actual files)
cp -r /path/to/your/model/files/* .

# Configure LFS tracking (for large files)
git lfs track "*.h5" "*.bin" "*.pt"

# Commit and push
git add .
git commit -m "Add model files v1.0"
git push origin main