Purdue University

TerraMind-1.0

TerraMind is the first multimodal any-to-any generative foundation model for Earth Observation jointly developed by IBM, ESA, and Forschungszentrum Jülich.

TerraMind uses a dual-scale transformer-based encoder-decoder architecture, simultaneously processing pixel-level and token-level data. The model was pre-trained on 500B tokens from 9M spatiotemporally aligned multimodal samples from the TerraMesh dataset.

Modality-specific patch embeddings allow direct processing of raw inputs, while modality-specific FSQ-VAEs are used for image tokenization. For sequence-like modalities such as coordinates, an adapted WordPiece tokenizer is employed. During pre-training, TerraMind leverages masked token reconstruction, learning complex cross-modal correlations to generate high-quality latent representations.

Link to section 'Available models can be searched as below:' of 'TerraMind-1.0' Available models can be searched as below:

liu4201@login02.anvil:[~] $ module spider TerraMind-1.0

---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
  TerraMind-1.0:
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
    Description:
      TerraMind is the first multimodal any-to-any generative foundation model for Earth Observation jointly developed by IBM, ESA, and Forschungszentrum Jülich.

     Versions:
        TerraMind-1.0/base-2025-08-22
        TerraMind-1.0/large-2025-08-22

Link to section 'Any available model above can be loaded and used as below:' of 'TerraMind-1.0' Any available model above can be loaded and used as below:

module load gfms
module load TerraMind-1.0/large-2025-08-22
module load TerraMind-1.0/base-2025-08-22

>>> import os 
>>> model_path = os.getenv("MODEL_DIR") 
>>> model_path 
'/apps/gfms/TerraMind-1.0/TerraMind-1.0-large'