---
title: RynnValue 4B
emoji: 🤖
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.50.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: How far is the robot from finishing the task?
python_version: "3.12"
startup_duration_timeout: 1h
models:
  - Alibaba-DAMO-Academy/RynnValue-4B
tags:
  - robotics
  - value-model
  - video
---

# RynnValue-4B

Interactive demo of [Alibaba-DAMO-Academy/RynnValue-4B](https://huggingface.co/Alibaba-DAMO-Academy/RynnValue-4B),
a general-purpose value model for robot manipulation.

Feed it a manipulation video plus the task instruction and it predicts, along prefixes of the
video, **how many seconds of work are still left** until the instruction is complete, and generates
a short analysis block (video description, does the video match the instruction, did the agent
succeed).

The inference protocol mirrors `rynn_infer/inference.py` from the
[official repo](https://github.com/alibaba-damo-academy/RynnValue): prefix-uniform sampling — each
score conditions only on frames seen so far — followed by a `generate()` pass over the full-video
prefix for the analysis block. The custom `pred_slot_isolated_eager` attention required by the
value heads is forced explicitly, as in the reference script.

## Example assets

* `examples/put_box_in_drawer.mp4` — transcoded (854×480) copy of
  `example/Put_the_box_in_the_drawer_and_close_it.mp4` from the
  [RynnValue](https://github.com/alibaba-damo-academy/RynnValue) repository (Apache-2.0).
* `examples/soar_put_green_stick_in_brown_bowl.mp4`,
  `examples/berkeley_rpt_stack_cup.mp4`,
  `examples/jaco_play_pick_up_green_cup.mp4` — from the Robometer example videos bundled in the same
  repository (`robometer/`, MIT License), originally derived from Open X-Embodiment trajectories.