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README.md

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----
-license: apache-2.0
-base_model:
-- Qwen/Qwen2.5-VL-3B-Instruct
-- Qwen/Qwen2.5-VL-7B-Instruct
-- lmms-lab/llava-onevision-qwen2-7b-ov
-tags:
-- robotics
-- vision-language-action-model
-- vision-language-model
-library_name: transformers
-
-# Collection Metadata (Referencing InternRobotics/VLN-PE style)
-repo: InternRobotics/RoboInter-VLM
-type: "checkpoint-collection"
-description: "Collection of RoboInterVLM checkpoints and configs fine-tuned on RoboInter-VQA."
-checkpoints:
-  - name: RoboInterVLM_qwenvl25_3b
-    path: RoboInterVLM_qwenvl25_3b/
-    notes: "Lightweight Qwen2.5-VL model"
-  - name: RoboInterVLM_qwenvl25_7b
-    path: RoboInterVLM_qwenvl25_7b/
-    notes: "Stronger performance Qwen2.5-VL backbone"
-  - name: RoboInterVLM_llava_one_vision_7B
-    path: RoboInterVLM_llava_one_vision_7B/
-    notes: "LLaVA-OneVision (SigLIP + Qwen2) backbone"
----
-
-# RoboInterVLM: Vision-Language Model Checkpoints for RoboInter Manipulation Suite
-
-Model checkpoints of **RoboInterVLM**, developed as part of the [RoboInter](https://github.com/InternRobotics/RoboInter) project. These models are fine-tuned on the [RoboInter-VQA](https://huggingface.co/datasets/InternRobotics/RoboInter-VQA) dataset for intermediate representation understanding and generation in robotic manipulation.
-
-## Available Checkpoints
-
-| Checkpoint | Base Model | Architecture | Parameters | Description |
-|---|---|---|---|---|
-| `RoboInterVLM_qwenvl25_3b` | [Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct) | Qwen2.5-VL | ~3B | Lightweight Qwen2.5VL model, suitable for efficient deployment |
-| `RoboInterVLM_qwenvl25_7b` | [Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) | Qwen2.5-VL | ~7B | Larger Qwen2.5-VL backbone for stronger performance |
-| `RoboInterVLM_llava_one_vision_7B` | [LLaVA-OneVision-Qwen2-7B](https://huggingface.co/lmms-lab/llava-onevision-qwen2-7b-ov) | LLaVA-OneVision (SigLIP + Qwen2) | ~7B | LLaVA-OneVision backbone with SigLIP vision encoder |
-
-All checkpoints are stored in `safetensors` format with `bfloat16` precision.
-
-## Supported Tasks
-
-These models are jointly trained on general VQA and three categories of our curated VQA tasks:
-
-- **Generation**: Predicting intermediate representations such as trajectory waypoints, gripper bounding boxes, contact points/boxes, object bounding boxes (current & final), etc.
-- **Understanding**: Multiple-choice visual reasoning about contact states, grasp poses, object grounding, trajectory selection, movement directions, etc.
-- **Task Planning**: High-level task planning including next-step prediction, action primitive recognition, success determination, etc.
-
-## Usage
-
-### Qwen2.5-VL Checkpoints
-For loading and inference with the Qwen2.5-VL checkpoint, please refer to the [RoboInterVLM-QwenVL](https://github.com/InternRobotics/RoboInter/tree/main/RoboInterVLM/RoboInterVLM-QwenVL) codebase. We provide a fast loading example below:
-
-```python
-from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor
-
-model_path = "InternRobotics/RoboInterVLM_qwenvl25_3b"  # or RoboInterVLM_qwenvl25_7b
-model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
-    model_path, torch_dtype="auto", device_map="auto"
-)
-processor = AutoProcessor.from_pretrained(model_path)
-```
-
-### LLaVA-OneVision Checkpoint
-
-For loading and inference with the LLaVA-OneVision checkpoint, please refer to the [RoboInterVLM-LLaVAOV](https://github.com/InternRobotics/RoboInter/tree/main/RoboInterVLM/RoboInterVLM-LLaVAOV) codebase, as it requires custom model classes.
-
-### Training & Evaluation
-
-For full training and evaluation pipelines, please refer to:
-
-- **Qwen2.5-VL models**: [RoboInterVLM-QwenVL](https://github.com/InternRobotics/RoboInter/tree/main/RoboInterVLM/RoboInterVLM-QwenVL)
-- **LLaVA-OneVision model**: [RoboInterVLM-LLaVAOV](https://github.com/InternRobotics/RoboInter/tree/main/RoboInterVLM/RoboInterVLM-LLaVAOV)
-- **VQA Dataset**: [RoboInter-VQA](https://huggingface.co/datasets/InternRobotics/RoboInter-VQA)
-
-## Related Resources
-
-- **Project**: [RoboInter](https://github.com/InternRobotics/RoboInter)
-- **Annotation Data**: [RoboInter-Data](https://huggingface.co/datasets/InternRobotics/RoboInter-Data)
-- **VQA Dataset**: [RoboInter-VQA](https://huggingface.co/datasets/InternRobotics/RoboInter-VQA)
-## License
-
-Please refer to the original licenses of [RoboInter](https://github.com/InternRobotics/RoboInter), [Qwen2.5-VL](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct), and [LLaVA-OneVision](https://huggingface.co/lmms-lab/llava-onevision-qwen2-7b-ov).