How to Download & Run
MiniMax H3 Locally
Download MiniMax H3 open multimodal weights from official repositories (Hugging Face, ModelScope, GitHub). Evaluate Video RAM (VRAM) requirements, configure PyTorch CUDA environments, and execute CLI inference scripts.
Official Download Repositories
Hugging Face Hub
Official FP16 model weights, tokenizer configs, and diffusers integration pipeline files.
ModelScope Hub
High-speed download mirror for users in Asia and Mainland China regions.
GitHub Codebase
Official Python inference codebase, PyTorch loading scripts, and prompt tokenization code.
Hardware & VRAM Requirements
| Hardware Parameter | Minimum Requirement | Recommended Production Spec |
|---|---|---|
| GPU Model | Nvidia RTX 3060 12GB / RTX 4060 12GB | Nvidia RTX 3090 / RTX 4090 / A6000 (24GB+) |
| Video RAM (VRAM) | 12 GB (with FP8 / offload) | 24 GB+ (FP16 Native 2K Generation) |
| System RAM | 16 GB DDR4/DDR5 | 32 GB - 64 GB High-Speed RAM |
| Disk Storage | 50 GB Free NVMe SSD Space | 100 GB High-Speed NVMe SSD |
| Operating System | Ubuntu 22.04 LTS / Windows 11 WSL2 | Linux (Ubuntu 22.04 LTS with CUDA 12.1+) |
Step-by-Step Local CLI Installation
Follow these commands in your terminal to set up a clean Python virtual environment and run MiniMax H3 inference:
# Step 1: Clone the official codebase git clone https://github.com/MiniMax-AI/MiniMax-H3.git cd MiniMax-H3 # Step 2: Create and activate virtual environment python3 -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # Step 3: Install PyTorch with CUDA 12.1 support pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 # Step 4: Install model dependencies pip install -r requirements.txt # Step 5: Execute test inference script python sample.py \ --model_path "./checkpoints/minimax_h3_fp16.safetensors" \ --prompt "SUBJECT: A futuristic sleek vehicle driving through rain. ACTION: Pan camera low angle." \ --output_dir "./outputs" \ --height 576 --width 1024 --frames 120
Frequently Asked Questions
Is there an official MiniMax H3 GGUF version?
As of August 2026, MiniMax has not released an official GGUF quantized model for H3 video generation. Beware of fake GGUF files online—use official Hugging Face or ModelScope weights.
What is the total download size of MiniMax H3 model weights?
The FP16 checkpoint package is approximately 28GB - 34GB depending on whether stereo audio weights are included in the bundle.
Can I run MiniMax H3 on Apple Silicon Mac (M1/M2/M3 Max)?
PyTorch MPS support is experimental. While Apple Silicon Macs with 36GB+ Unified Memory can run inference, Linux/Windows Nvidia GPUs provide significantly faster sampling speeds.
How does MiniMax H3 local performance compare to Hailuo H3 or Seedance 2.5?
MiniMax H3 excels at concurrent stereo audio generation and multi-reference image role assignments compared to single-modal video pipelines.