nibauman/RobotxLLM_Qwen7B_SFT

Model Card for RobotxLLM-Qwen7B-SFT

This model is a fine-tuned version of unsloth/Qwen2.5-7B-Instruct designed for decision-making and control adaptation in autonomous driving systems. It was developed as part of the RSS 2025 paper Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models.

Model Details

Model Description

This model builds on Qwen2.5-7B-Instruct via LoRA based SFT. It is trained on a synthetic dataset obtained from GPT-4o of driving instructions and corresponding robot interactions with it's corresponding low-level MPC controller to adhere to natural language commands.

• Developed by: ETH Zurich, PBL and IIS
• Model type: Language model fine-tuned for embodied decision making
• Language(s): English
• License: Apache 2.0 (inherits from base model)
• Finetuned from model: unsloth/Qwen2.5-7B-Instruct

Model Sources

• Repository: https://github.com/ForzaETH/LLMxRobot
• Paper: https://arxiv.org/abs/2504.11514