# Xiaomi-Robotics-0: Self-Hosting Hardware, Scenarios and Commercial License

> Real-time robotic manipulation research and post-training across supported embodiments and simulation suites.

- Verified: 2026-09-12
- Released: 2026-02-11
- Canonical: https://chinaapi.ai/open-model-deployment/xiaomi-robotics-0/
- Back to directory: https://chinaapi.ai/open-model-deployment/
- Machine-readable dataset: https://chinaapi.ai/data/open-model-deployment.json

## Model facts

- Vendor: Xiaomi Robotics
- Parameters: 4.7B total; 4.7B active
- Native precision: BF16 with Flash Attention 2
- Context: Not applicable
- Category: Physical-world vision-language-action models
- Modalities: robot camera, language instruction, proprioception → robot action
- Serving paths: Transformers, PyTorch
- Official weights: https://huggingface.co/XiaomiRobotics/Xiaomi-Robotics-0?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment
- Model documentation: https://github.com/XiaomiRobotics/Xiaomi-Robotics-0?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment

## Deployment evidence

- **Official launch / minimum — evidence C:** The vendor says BF16 inference is optimized for consumer GPUs but publishes no exact minimum VRAM. Source: https://github.com/XiaomiRobotics/Xiaomi-Robotics-0?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment
- **200-person team — evidence E:** Size by robots, camera rate and control latency; a 200-seat office profile is not applicable.
- **Commercial API — evidence E:** Prefer an on-robot or near-edge safety architecture; a remote multi-tenant API is not the default production shape.

## Scenario evidence

- **Robot manipulation — Vendor-stated:** The official deployment guide targets robotic manipulation with asynchronous real-time execution. Source: https://github.com/XiaomiRobotics/Xiaomi-Robotics-0?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment
- **LIBERO, CALVIN and SimplerEnv evaluation — Public evidence:** Official fine-tuned checkpoints and evaluation guides are released for all three suites. Source: https://github.com/XiaomiRobotics/Xiaomi-Robotics-0?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment
- **Embodiment-specific post-training — Vendor-stated:** Post-training code is available for adapting the model to new data. Source: https://github.com/XiaomiRobotics/Xiaomi-Robotics-0?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment

## Commercial-use check

- License: Apache-2.0 — https://github.com/XiaomiRobotics/Xiaomi-Robotics-0/blob/main/LICENSE?utm_source=chinaapi&utm_medium=research&utm_campaign=open-model-deployment
- MaaS / hosted service: No model-specific MaaS restriction identified in Apache-2.0.
- Attribution: Provide the license and notices, preserve attribution notices, and mark modified files.

## Avoid or validate first

- Direct deployment on an unvalidated physical robot
- Safety-critical control without independent interlocks and task-specific validation

## Known limitations and open questions

- Simulation benchmarks do not prove physical-world safety
- Exact VRAM and end-to-end control latency are not published

## Evidence boundary

Loading weights, completing a first forward pass and meeting a production latency/SLA are separate thresholds. The 200-person and commercial tiers require workload-specific measurement. License summaries are product research, not legal advice.

Generated by GENERATED BY scripts/gen_open_model_deployment.py.
