| { | |
| "base_model": "prajjwal1/bert-tiny", | |
| "base_model_license": "MIT", | |
| "architecture": "bert", | |
| "num_hidden_layers": 2, | |
| "hidden_size": 128, | |
| "num_attention_heads": 2, | |
| "intermediate_size": 512, | |
| "vocab_size": 30522, | |
| "max_position_embeddings": 512, | |
| "layer_norm_eps": 1e-12, | |
| "num_parameters": 4385920, | |
| "precision": "fp32", | |
| "original_framework": "pytorch", | |
| "sajal_runtime_compatible": true, | |
| "sajal_native_port": { | |
| "encoder": "native/bert_model.hpp", | |
| "tokenizer": "native/wordpiece.hpp (real WordPiece, ASCII-scoped)" | |
| } | |
| } |