lerobot/RynnValue-4B

Reward Model Card for rynnvalue

RynnValue is a language-conditioned robotic value model built on Qwen3-VL. Given a trajectory video and a task description, it predicts the remaining time, in seconds, until the task is completed.

This reward model is inference-only in LeRobot: it can't be trained with lerobot-train.

See the full documentation at LeRobot Docs.

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How to Get Started with the Reward Model

Load the reward model in Python

from lerobot.configs.rewards import RewardModelConfig
from lerobot.rewards import make_reward_model

config = RewardModelConfig.from_pretrained("lerobot/RynnValue-4B")
reward_model = make_reward_model(config)

# `batch` is the output of this model's preprocessor.

remaining_time_s = reward_model.predict_remaining_time(batch).remaining_time_s

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Model Details

• License: apache-2.0