Spectro-2B / config.json
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{
"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"
]
}