RynnBrain: Open Embodied Foundation Models
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📰 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 (This Checkpoint) | RynnBrain-8B | Link | Link |
| RynnBrain‑Plan-30B-A3B | 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. |
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