新增config.json文件

README.md

@@ -54,8 +54,8 @@ This model package invokes NVIDIA's official `torch-harmonics` linear SFNO imple
 ### Download the Model Package
 
 ```bash
-hf download OneScience-Group/SFNO --local-dir ./SFNO
-cd SFNO
+hf download OneScience-Group/Spherical-Fourier-Neural-Operators --local-dir ./Spherical-Fourier-Neural-Operators
+cd Spherical-Fourier-Neural-Operators
 ```
 
 ### Set Up the Runtime Environment

config.json

@@ -0,0 +1,42 @@
+{
+  "model_name": "Spherical Fourier Neural Operator",
+  "model_type": "sfno",
+  "architectures": [
+    "OfficialSFNOAdapter"
+  ],
+  "framework": "PyTorch with torch-harmonics",
+  "domain": "spherical-dynamics",
+  "task": "autoregressive-spherical-field-prediction",
+  "implementation": {
+    "entry_point": "model/sfno_adapter.py",
+    "scope": "operator-level smoke configuration using the official torch-harmonics SFNO class"
+  },
+  "architecture": {
+    "family": "spherical Fourier neural operator",
+    "input_grid_shape": [
+      17,
+      32
+    ],
+    "input_grid": "equiangular",
+    "internal_grid": "legendre-gauss",
+    "input_channels": 2,
+    "output_channels": 2,
+    "embedding_size": 8,
+    "operator_layers": 2,
+    "spectral_scale_factor": 2,
+    "normalization": "none",
+    "residual_prediction": false,
+    "positional_embedding": "none"
+  },
+  "workflow": {
+    "synthetic_time_steps": 6,
+    "autoregressive_rollout_steps": 3,
+    "physical_variable_semantics": null
+  },
+  "configuration_sources": [
+    "model/default_config.json",
+    "model/config.py",
+    "model/sfno_adapter.py",
+    "README.md"
+  ]
+}