Document tracked PyTorch weight alias

README.md

@@ -1,5 +1,6 @@
 ---
 license: mit
+library_name: pytorch
 pipeline_tag: robotics
 tags:
 - robotics
@@ -42,6 +43,7 @@ The InternW0 architecture uses:
 |---|---|---:|---|
 | `config.json` | Model/download-counting manifest for the Hub | 1,129 bytes | `0cf84ddb331416e13e174a2c165ffa3eb5466ca2787a8b36d9e262bd7a489bb0` |
 | `InternW0-Base.pt` | Model-only native checkpoint | 29,410,738,430 bytes | `131d00c241c88fdd1f14cafb3d9fe7c33388f3bff55ff10397105d9fe6e5f3ac` |
+| `pytorch_model.bin` | Zero-copy LFS alias of `InternW0-Base.pt` for PyTorch download statistics | Same LFS object | `131d00c241c88fdd1f14cafb3d9fe7c33388f3bff55ff10397105d9fe6e5f3ac` |
 | `normalization.json` | RoboTwin action/proprio normalization contract | 4,047 bytes | `0ba957c35cd08f05b55f6a4a08b7e19c784e3816dd15fdb73135a4d1b334340f` |
 | `InternW0-Base.transfer.json` | Full source-to-target transfer/provenance sidecar | 307,131 bytes | `3d911a075ef680cc8edfa009b4e06a050dc000bc04182341772d9ec35207f568` |
 | `LICENSE` | Weight release license | 1,205 bytes | `b1d3d0160bdd9748bfc4e8acb9ab8fbce7ab725c827fd6fc673261f57aae0306` |
@@ -64,7 +66,7 @@ Checkpoint summary:
 
 The conversion copies shared VideoDiT, ActionDiT, OVCR, and projector weights from pretraining step 30,000. The one-row RoboTwin domain bank, action encoder/head, soft-prompt bank, and default proprio encoder are initialized for the target interface with seed 42. This distinction is recorded tensor-by-tensor in `InternW0-Base.transfer.json`.
 
-Hugging Face uses library-specific query files for model download statistics. This repository uses the Hub's default query file, `config.json`; HTTP `GET` and `HEAD` requests to that manifest are counted server-side. The badge above reads the public `downloads` field from the Hub API, which corresponds to downloads in the last 30 days. Hub analytics may lag briefly while counters refresh.
+Hugging Face uses library-specific query files for model download statistics. For the `pytorch` library, the Hub counts HTTP `GET` and `HEAD` requests to `pytorch_model.bin`. This repository therefore provides `pytorch_model.bin` as a second path to the exact same LFS object as `InternW0-Base.pt`; it adds no meaningful storage overhead and has the same SHA-256. The badge above reads the public `downloads` field from the Hub API, which corresponds to downloads in the last 30 days. Hub analytics are aggregated and may lag briefly before counters refresh.
 
 ## Required external assets
 
@@ -98,8 +100,9 @@ pip install -e .
 
 ```bash
 hf download InternRobotics/InternW0-Base \
-  config.json InternW0-Base.pt normalization.json InternW0-Base.transfer.json \
+  config.json pytorch_model.bin normalization.json InternW0-Base.transfer.json \
   --local-dir assets/robotwin
+mv assets/robotwin/pytorch_model.bin assets/robotwin/InternW0-Base.pt
 ```
 
 ### 3. Prepare assets and launch