Reinforcement Learning
Transformers
Safetensors
llama
text-generation
llama-3
traffic-signal-control
multi-agent
text-generation-inference
Instructions to use ljxys/CoLLMLight-8B-Llama3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ljxys/CoLLMLight-8B-Llama3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ljxys/CoLLMLight-8B-Llama3") model = AutoModelForCausalLM.from_pretrained("ljxys/CoLLMLight-8B-Llama3") - Notebooks
- Google Colab
- Kaggle
CoLLMLight-8B-Llama3
This repository contains the model weights for CoLLMLight-8B-Llama3, released for the paper CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control.
Model Details
- Model name: CoLLMLight-8B-Llama3
- Base model: Llama 3.1 8B
Citation
@inproceedings{
yuan2026collmlight,
title={Co{LLML}ight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control},
author={Zirui Yuan and Siqi Lai and Hao Liu},
booktitle={The Fourteenth International Conference on Learning Representations},
year={2026},
url={https://openreview.net/forum?id=KeJqoEVOeY}
}
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meta-llama/Llama-3.1-8B