| { |
| "model_name": "Spectro-2B", |
| "model_type": "Transformer3DModel", |
| "description": "Spectro-2B: Advanced Transformer-based Video Generation Model by SVECTOR.", |
| "architectures": [ |
| "Transformer3DModel", |
| "CausalVideoAutoencoder" |
| ], |
| "attention_type": "spatial_temporal", |
| "num_parameters": "2 Billion", |
| "resolution": "256x256", |
| "output_frame_rate": "30 FPS", |
| "framework_version": "0.25.1", |
| "created_by": "SVECTOR", |
| "owner": "SVECTOR-CORPORATION", |
| "last_updated": "2024-12-24", |
| "dependencies": { |
| "torch": "2.0.1", |
| "transformers": "4.42.4", |
| "diffusers": "0.25.1" |
| }, |
| "usage_statistics": { |
| "download_count": 3250, |
| "total_inferences": 10230, |
| "average_inference_time_ms": 92, |
| "gpu_memory_usage_gb": 11.5 |
| }, |
| "training_details": { |
| "dataset_name": "Spectro-Video-Dataset-1B", |
| "training_steps": 1250000, |
| "optimizer": "AdamW", |
| "learning_rate": 0.0001, |
| "batch_size": 128 |
| }, |
| "architecture_details": { |
| "hidden_size": 1024, |
| "num_hidden_layers": 28, |
| "num_attention_heads": 32, |
| "positional_embedding_type": "rope", |
| "dropout_rate": 0.1, |
| "patch_size": 16 |
| }, |
| "performance_metrics": { |
| "inference_latency_ms": 85, |
| "model_fidelity": "98.2%", |
| "gpu_efficiency": "10.2 GB per inference" |
| }, |
| "tags": [ |
| "video-generation", |
| "transformer-based", |
| "SVECTOR", |
| "high-performance" |
| ] |
| } |