---
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](https://arxiv.org/abs/2504.11514).

## 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