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Sponsored by
APIMart
Alibaba-DAMO-Academy / RynnBrain-Plan-30B-A3B
Model's Last Updated: April 14 2026
image-text-to-text
Introduction of RynnBrain-Plan-30B-A3B
Model Details of RynnBrain-Plan-30B-A3B
RynnBrain: Open Embodied Foundation Models
If you like our project, please give us a star ⭐ on Github for the latest update.
📰 News
- [2026.02.02] Release RynnBrain family weights and inference code.
- [2026.02.02] Add cookbooks for cognition, localization, reasoning, and planning.
✨ Introduction
RynnBrain aims to serve as a physics-aware embodied brain : it observes egocentric scenes, grounds language to physical space and time, and supports downstream robotic systems with reliable localization and planning outputs.
Key Highlights
-
Comprehensive egocentric understanding
Strong spatial comprehension and egocentric cognition across embodied QA, counting, OCR, and fine-grained video understanding. -
Diverse spatiotemporal localization
Locates objects, target areas, and predicts trajectories across long episodic context, enabling global spatial awareness. -
Physical-space grounded reasoning (RynnBrain family)
The broader RynnBrain family includes “Thinking” variants that interleave textual reasoning with spatial grounding to anchor reasoning in reality. -
Physics-aware precise planning (RynnBrain family)
Integrates localized affordances/areas/objects into planning outputs to provide downstream VLA models with precise instructions.
🌎 Model Zoo
| Model | Base Model | Huggingface | Modelscope |
|---|---|---|---|
| RynnBrain-2B | Qwen3-VL-2B-Instruct | Link | Link |
| RynnBrain-8B | Qwen3-VL-8B-Instruct | Link | Link |
| RynnBrain-30B-A3B | Qwen3-VL-30B-A3B-Instruct | Link | Link |
| RynnBrain‑CoP-8B | RynnBrain-8B | Link | Link |
| RynnBrain‑Plan-8B | RynnBrain-8B | Link | Link |
| RynnBrain‑Plan-30B-A3B ( This Checkpoint ) | RynnBrain-30B-A3B | Link | Link |
| RynnBrain‑Nav-8B | RynnBrain-8B | Link | Link |
🚀 Main Results
🤖 Quick Start
Minimal dependencies:
pip install transformers==4.57.1
Run text generation:
from transformers import AutoModelForImageTextToText
model = AutoModelForImageTextToText.from_pretrained("")
...
Cookbooks
Checkout the cookbooks that showcase RynnBrain's capabilities in cognition, localization, reasoning, and planning.
| Category | Cookbook name | Description |
|---|---|---|
| Planning | 10_manipulate_planning.ipynb | Performs multi-step task decomposition and action planning from goals and scenes. |
Runs of Alibaba-DAMO-Academy RynnBrain-Plan-30B-A3B on huggingface.co
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More Information About RynnBrain-Plan-30B-A3B huggingface.co Model
Url of RynnBrain-Plan-30B-A3B
RynnBrain-Plan-30B-A3B huggingface.co Url
Provider of RynnBrain-Plan-30B-A3B huggingface.co
Other API from Alibaba-DAMO-Academy
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