Qinzhen3/OriginX

robotics model by Qinzhen3

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OriginX is a robot policy for RoboCasa365, developed by Qinzhen Ma using Xiaomi-Robotics-1-RoboCasa365 as its foundation. Project website · Code and inference guide · Technical report This repository contains the complete inference weight set: the three full base-model shards, tokenizer and processor assets, the A2000 Action LoRA adapter, and the B2000 continuous conditioning branch. The base-model weights are included here; a separate download from another model repository is not required. The base has 5,053,149,696 parameters stored in BF16. Its three shards total 10,106,433,336 bytes. The adaptation files are the unchanged weights used in the recorded evaluation; they remain separate to preserve the original loading and numerical behavior. Release naming. A2000 is the public name of the existing adapter. It completed 1,613 optimizer updates over 80,000 sampled windows; B2000 completed 2,000 updates over 256,000 sampled windows. Renaming does not alter weight bytes, training history, or evaluation results. Implementation code lives on…

Qinzhen3/OriginX on Hugging Face A short preview, not the full document.

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  1. OriginX
  2. Complete model weights
  3. Run the model
  4. Evaluation
  5. License

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Model overview

Qinzhen3/OriginX is a robotics model repository published by Qinzhen3 on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
robotics
Library
Not reported
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-10-09T06:27:45.000Z
Last modified
2026-10-09T06:34:15.000Z

Compatibility and lineage

Reported languages: en, zh

Reported base models: XiaomiRobotics/Xiaomi-Robotics-1-RoboCasa365

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-10-09T06:40:49.674Z. Daily imports are snapshots, not real-time monitoring.

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