Create config.json

config.json

@@ -0,0 +1,54 @@
+{
+  "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"
+  ]
+}