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README.md
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language:
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- en
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base_model:
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- SberRoboticsCenter/GreenVLA-5b-base
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pipeline_tag: robotics
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tags:
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- robotics
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datasets:
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- IPEC-COMMUNITY/bridge_orig_lerobot
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model-index:
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- name: GreenVLA-5b-R2-bridge
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results:
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- task:
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type: robotics
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<div align="center">
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# GreenVLA-5b-R2-bridge
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### RL-Aligned VLA for Bridge (WidowX)
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## Overview
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**GreenVLA-5b-R2-bridge** is the R2 (RL-aligned) checkpoint of the [Green-VLA](https://arxiv.org/abs/2602.00919) family, fine-tuned on the [Bridge](https://huggingface.co/datasets/IPEC-COMMUNITY/bridge_orig_lerobot) dataset for the WidowX robot arm joined with additional trajectories collected in SimplerEnv Bridge environments. Trajectory collection and RL fine-tuning were conducted according to the Trajectory Optimization approach described in the [technical report](https://arxiv.org/abs/2602.00919).
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Starting from [GreenVLA-5b-base](https://huggingface.co/SberRoboticsCenter/GreenVLA-5b-base), this model went through both R1 (supervised fine-tuning) and R2 (RL policy alignment) stages, resulting in significant performance gains over behavior cloning alone.
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## Evaluation
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| | Details |
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|---|---|
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| **Base checkpoint** | [GreenVLA-5b-base](https://huggingface.co/SberRoboticsCenter/GreenVLA-5b-base) |
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| **Stage** | R2 — RL policy alignment |
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| **Method** | Trajectory optimization (SFT + RL on collected trajectories) |
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| **Dataset** | [IPEC-COMMUNITY/bridge_orig_lerobot](https://huggingface.co/datasets/IPEC-COMMUNITY/bridge_orig_lerobot) + SimplerEnv rollouts |
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# 1. Load policy and transforms.
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policy, input_transforms, output_transforms = load_pretrained_policy(
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"SberRoboticsCenter/GreenVLA-5b-R2-bridge",
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data_config_name="bridge",
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)
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policy.to("cuda").eval()
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See [`examples/example_inference_bridge.py`](https://github.com/greenvla/GreenVLA/blob/main/examples/example_inference_bridge.py) for the full runnable script with argument parsing.
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## Model Family
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| Model | Stage | Params | Description | Link |
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|-------|:-----:|:------:|-------------|:----:|
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| **GreenVLA-2b-base** | Base | 2B | Base pretrained (lightweight) | [Hub](https://huggingface.co/SberRoboticsCenter/GreenVLA-2b-base) |
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| **GreenVLA-5b-base** | Base | 5B | Base pretrained (recommended) | [Hub](https://huggingface.co/SberRoboticsCenter/GreenVLA-5b-base) |
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| **GreenVLA-5b-R1-bridge** | R1 | 5B | Fine-tuned on Bridge (WidowX) | [Hub](https://huggingface.co/SberRoboticsCenter/GreenVLA-5b-R1-bridge) |
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| **GreenVLA-5b-R2-bridge** | R2 | 5B | RL-aligned on Bridge (WidowX) | You are here |
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| **GreenVLA-5b-R1-fractal** | R1 | 5B | Fine-tuned on Fractal (Google Robot) | [Hub](https://huggingface.co/SberRoboticsCenter/GreenVLA-5b-R1-fractal) |
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## Citation
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```bibtex
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language:
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- en
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base_model:
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- SberRoboticsCenter/GreenVLA-5b-base-stride-1
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pipeline_tag: robotics
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tags:
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- robotics
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datasets:
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- IPEC-COMMUNITY/bridge_orig_lerobot
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model-index:
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- name: GreenVLA-5b-stride-1-R2-bridge
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results:
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- task:
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type: robotics
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<div align="center">
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# GreenVLA-5b-stride-1-R2-bridge
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### RL-Aligned VLA for Bridge (WidowX)
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## Overview
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**GreenVLA-5b-stride-1-R2-bridge** is the R2 (RL-aligned) checkpoint of the [Green-VLA](https://arxiv.org/abs/2602.00919) family, fine-tuned on the [Bridge](https://huggingface.co/datasets/IPEC-COMMUNITY/bridge_orig_lerobot) dataset for the WidowX robot arm joined with additional trajectories collected in SimplerEnv Bridge environments. Trajectory collection and RL fine-tuning were conducted according to the Trajectory Optimization approach described in the [technical report](https://arxiv.org/abs/2602.00919).
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Starting from [GreenVLA-5b-base-stride-1](https://huggingface.co/SberRoboticsCenter/GreenVLA-5b-base-stride-1), this model went through both R1 (supervised fine-tuning) and R2 (RL policy alignment) stages, resulting in significant performance gains over behavior cloning alone.
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## Evaluation
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| | Details |
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|---|---|
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| **Base checkpoint** | [GreenVLA-5b-base-stride-1](https://huggingface.co/SberRoboticsCenter/GreenVLA-5b-base-stride-1) |
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| **Stage** | R2 — RL policy alignment |
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| **Method** | Trajectory optimization (SFT + RL on collected trajectories) |
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| **Dataset** | [IPEC-COMMUNITY/bridge_orig_lerobot](https://huggingface.co/datasets/IPEC-COMMUNITY/bridge_orig_lerobot) + SimplerEnv rollouts |
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# 1. Load policy and transforms.
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policy, input_transforms, output_transforms = load_pretrained_policy(
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"SberRoboticsCenter/GreenVLA-5b-stride-1-R2-bridge",
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data_config_name="bridge",
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)
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policy.to("cuda").eval()
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See [`examples/example_inference_bridge.py`](https://github.com/greenvla/GreenVLA/blob/main/examples/example_inference_bridge.py) for the full runnable script with argument parsing.
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## Citation
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```bibtex
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