{
  "model_name": "DinoBloom",
  "description": "DinoBloom: A foundation model for generalizable cell embeddings in hematology",
  "variants": {
    "s": {
      "architecture": "dinobloom_s",
      "embed_dim": 384,
      "num_layers": 12,
      "num_params": "22M",
      "checkpoint": "pytorch_model_s.bin"
    },
    "b": {
      "architecture": "dinobloom_b",
      "embed_dim": 768,
      "num_layers": 12,
      "num_params": "86M",
      "checkpoint": "pytorch_model_b.bin"
    },
    "l": {
      "architecture": "dinobloom_l",
      "embed_dim": 1024,
      "num_layers": 24,
      "num_params": "304M",
      "checkpoint": "pytorch_model_l.bin"
    },
    "g": {
      "architecture": "dinobloom_g",
      "embed_dim": 1536,
      "num_layers": 40,
      "num_params": "1136M",
      "checkpoint": "pytorch_model_g.bin"
    }
  },
  "image_size": 224,
  "patch_size": 14,
  "mean": [0.485, 0.456, 0.406],
  "std": [0.229, 0.224, 0.225],
  "base_model": "DINOv2",
  "license": "Apache-2.0",
  "paper": "https://arxiv.org/abs/2404.05022"
}