| { | |
| "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" | |
| } | |