metadata
base_model: unsloth/qwen2.5-7b-instruct-bnb-4bit
library_name: peft
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