Add canonical model config for download stats

config.json

@@ -0,0 +1,24 @@
+{
+  "model_type": "xperience10m_task_baseline_suite",
+  "library_name": "pytorch",
+  "pipeline_tag": "robotics",
+  "project": "Ropedia Xperience-10M Task Suite",
+  "description": "Minimal NumPy baselines and compact PyTorch MLP checkpoints for single-episode Xperience-10M embodied-AI task probes.",
+  "source_datasets": [
+    "ropedia-ai/xperience-10m",
+    "ropedia-ai/xperience-10m-sample"
+  ],
+  "base_model_reference": "Qwen/Qwen3-Omni-30B-A3B-Instruct",
+  "artifact_layout": {
+    "minimal_numpy_baselines": "artifacts/**/model.npz",
+    "neural_mlp_baselines": "artifacts/episode_task_suite/neural_mlp/**/model.pt",
+    "metrics": "artifacts/**/metrics.json",
+    "predictions": "artifacts/**/*predictions*"
+  },
+  "download_entrypoint": "config.json",
+  "notes": [
+    "This repository is a baseline/artifact model repository, not a single Transformers checkpoint.",
+    "Use huggingface_hub snapshot_download or hf_hub_download to retrieve the artifacts needed for a task.",
+    "The root config.json provides a canonical Hugging Face Hub query file for model download accounting."
+  ]
+}