Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,56 @@
+---
+license: apache-2.0
+library_name: vla-foundry
+tags:
+  - foundry
+  - vla_foundry
+  - vla
+  - robotics
+  - diffusion-policy
+  - flow-matching
+pipeline_tag: robotics
+---
+
+# Foundry-VLA-1.7B-real
+
+A 1.7B parameter vision-language-action model for bimanual robotic manipulation, part of the [VLA Foundry](https://github.com/TRI-ML/vla_foundry) collection. Trained on real-world manipulation data only.
+
+## Model Description
+
+- **Architecture:** Foundry-VLM-1.3B vision-language backbone + (condition on last 4 layers) flow-matching diffusion action head (24 layers, 1024 hidden dim, 16 heads)
+- **Parameters:** 1.7B (non-embedding)
+- **Action space:** 20-dim relative actions (bimanual xyz + 6D rotation + gripper)
+- **Cameras:** 4 views (2 scene + 2 wrist)
+- **Training data:** 102M samples from real-world bimanual manipulation tasks only
+- **VLM backbone:** [Foundry-VLM-1.3B-200M](https://huggingface.co/TRI-ML/Foundry-VLM-1.3B-200M)
+
+## Evaluation Results
+
+Success rates on 16 seen tasks and 3 unseen tasks (200 rollouts per task):
+
+| Simulator | Seen (16 tasks) | Unseen (3 tasks) |
+|---|---|---|
+| CS | 1.0% | 0.3% |
+| OSS | 2.2% | 4.5% |
+
+Note: This model was trained on real-world data only and does not transfer well to simulation.
+
+## Usage
+
+```bash
+git clone https://github.com/TRI-ML/vla_foundry.git
+cd vla_foundry
+pip install -e .
+```
+
+```python
+from vla_foundry.models.base_model import BaseModel
+model = BaseModel.from_pretrained("TRI-ML/Foundry-VLA-1.7B-real")
+```
+
+## Links
+
+- **Project page:** [tri-ml.github.io/vla_foundry](https://tri-ml.github.io/vla_foundry/)
+- **Paper:** [VLA Foundry (arXiv 2604.19728)](https://arxiv.org/abs/2604.19728)
+- **Code:** [github.com/TRI-ML/vla_foundry](https://github.com/TRI-ML/vla_foundry)
+- **Collection:** [VLA Foundry collection](https://huggingface.co/collections/TRI-ML/vla-foundry)