| { | |
| "model_type": "cognet", | |
| "architecture": "non-transformer", | |
| "model_name": "CogNet-40M", | |
| "vocab_size": 136, | |
| "hidden_dim": 512, | |
| "num_blocks": 6, | |
| "num_channels": 6, | |
| "channel_dim": 128, | |
| "ff_dim": 1024, | |
| "max_seq_len": 256, | |
| "working_slots": 32, | |
| "episodic_slots": 64, | |
| "semantic_slots": 128, | |
| "tokenizer_type": "character-level", | |
| "parameter_count": 39700000, | |
| "training_steps": 50000, | |
| "training_steps_completed": "N/A", | |
| "final_val_loss": "N/A", | |
| "license": "mit", | |
| "pipeline_tag": "text-generation" | |
| } |