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Tencent Robotics XChina2026

HY-Embodied-0.5

An AI model: a vision-language-action model (VLA) takes camera images and an instruction and turns them into movements for a robot. This page describes the software, not a robot.

Robotsnot stated

VersionsHY-Embodied-0.5 MoT-2BHY-Embodied-0.5-X

The developer has released this model in several versions. Each figure applies to the version its source names.

Key figures as stated by the developer

4 of 6 stated · 2 gaps
  • Model type ⁠A embodied reasoning
  • Controls not stated
  • Inputs ⁠A camera language
  • Access ⁠A open download
  • Parameters ⁠A 4,000,000,000
  • Base model not stated
How to read the figures
14kgA30.9lbA
The letter in the grey square after a figure points to the source the figure came from. Robots with several sources carry several letters.
74.5lb
Imperial figures are our own conversion unless the manufacturer states an imperial figure itself. The source letter always belongs to the metric figure — a conversion has no source of its own.
Versions and notes in the key figures (5)

Model type

Developer wording: "complex embodied reasoning (prediction, interaction, and planning)".

Controls

Note The model answers in text and with image coordinates, not with robot motion: "Coordinates are normalized to the integer range" 0 to 1000.

Inputs

The model takes images and text; the Hugging Face model card gives its task as "image-text-to-text".

Access

Tencent released HY-Embodied-0.5 "featuring the open-sourced" MoT-2B weights on Hugging Face; the extended variant has its own weights there. The licence does not cover the European Union, the United Kingdom or South Korea.

Parameters

Total for the open model: "The MoT-2B variant contains 4B total parameters", with "only 2.2B activated parameters" during inference. For the extended variant the model card says "architecture (4B total parameters with only 2B activated)". The 32B model of the family has no open weights on the model card.

Versions

HY-Embodied-0.5 MoT-2B
4,000,000,000
HY-Embodied-0.5-X
4,000,000,000

Full specifications

5 of 12 fields stated
The letter points to the source at the foot of the page. Fields without a figure are dashed: the developer does not state them — that is not the same as zero, and not the same as no.
Field Value Source and caveats
Input and output
Model typeembodied reasoningA

Developer wording: "complex embodied reasoning (prediction, interaction, and planning)".

Inputscamera languageA

The model takes images and text; the Hugging Face model card gives its task as "image-text-to-text".

Controlsnot stated

Note The model answers in text and with image coordinates, not with robot motion: "Coordinates are normalized to the integer range" 0 to 1000. ⁠B

Degrees of freedom controllednot stated
Size and speed
Parameters4,000,000,000A

Total for the open model: "The MoT-2B variant contains 4B total parameters", with "only 2.2B activated parameters" during inference. For the extended variant the model card says "architecture (4B total parameters with only 2B activated)". The 32B model of the family has no open weights on the model card.

Versions

HY-Embodied-0.5 MoT-2B
4,000,000,000
HY-Embodied-0.5-X
4,000,000,000
Control ratenot stated
Where it runs and what it is built on
Runs wherenot stated

Note Tencent describes the 2B model as made "for edge deployment" and lists "NVIDIA GPU with ≥ 16 GB VRAM" for the extended variant, but does not say that it runs on the robot. ⁠B

Base modelnot stated
Openness
Accessopen downloadA

Tencent released HY-Embodied-0.5 "featuring the open-sourced" MoT-2B weights on Hugging Face; the extended variant has its own weights there. The licence does not cover the European Union, the United Kingdom or South Korea.

LicenseTencent HY Community License AgreementC

The licence file is the "TENCENT HY COMMUNITY LICENSE AGREEMENT", which says: "THIS LICENSE AGREEMENT DOES NOT APPLY IN THE EUROPEAN UNION, UNITED KINGDOM AND SOUTH KOREA". The weights of the extended variant carry the same Tencent licence; its code on GitHub is under Apache-2.0.

The developer’s own claims
Learns new tasksnot stated
Works across robotsnot stated

Yes only if the developer itself says the model runs on different robot models, for example robots from two manufacturers or two of one manufacturer’s models. Several units of the same robot do not count.

Notes

  • Tencent Robotics X and the HY Vision Team describe HY-Embodied-0.5 as a suite of foundation models for embodied intelligence, built for spatial-temporal perception and embodied reasoning.
  • The family has a 2B edge model and a 32B model; the open weights are the MoT-2B model.
  • HY-Embodied-0.5-X is an extended variant of HY-Embodied-0.5 with additional post-training, released on 24 April 2026 with its own weights and licence file.
  • Tencent says HY-Embodied-0.5 can act as the language-and-vision part of a vision-language-action model.

Sources

One line per source, not per figure: a source has one retrieval date. The letter beside a figure points to the line it came from.