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topreward-qwen3vl-4b-nf4

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Quantized reward model for robotic progress monitoring with Qwen3-VL-4B VLM.

#progress monitoring#reward model#OpenRAL#robotic#Qwen3-VL-4B
Authorbensonlee5
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This rSkill provides a zero-shot reward model to monitor task progress in robotic tasks, using Qwen3-VL-4B VLM for likelihood estimation of task completion.

Core Features & Use Cases

  • Zero-Shot Reward Model: Evaluates task likelihood using Qwen3-VL-4B VLM without fine-tuning.
  • Progress Monitoring: Provides per-frame progress signals for tasks.
  • Use Case: A robot performing a picking task can use this rSkill to gauge its progress based on the likelihood of successfully completing the task as predicted by the model.

Quick Start

Install the rSkill: ral skill install hf://OpenRAL/rskill-topreward-qwen3vl-4b-nf4

Dependency Matrix

Required Modules

Qwen/Qwen3-VL-4B-Instructopenral

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: topreward-qwen3vl-4b-nf4
Download link: https://github.com/bensonlee5/openral/archive/main.zip#topreward-qwen3vl-4b-nf4

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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