Safetensors
English

CEP Framework

Paper • Data • Environment • Code

This repository contains the checkpoint for the CEP framework in our EMNLP 2024 Paper, Ask-before-Plan: Proactive Language Agents for Real-World Planning.
We release our CEP models, including LLaMA-3-8B and Mistral-7B variants, finetuned on Clarification and Execution subtasks.

Get Started

  1. Download our checkpoints.
git lfs install
git clone https://huggingface.co/magicgh/CEP
  1. OpenAI compatible servers.
python3 -m vllm.entrypoints.openai.api_server
  --served-model-name ${model_name}
  --model ${model}
  --kv-cache-dtype fp8
  --port ${port}
  --enable-lora
  --lora-modules ${lora_models}
  --chat-template ${chat_template}

Citation

If you find our research helpful for your work, please star this repository and cite our paper:

@article{ask-before-plan,
    author = {Xuan Zhang and Yang Deng and Zifeng Ren and See-Kiong Ng and Tat-Seng Chua},
    journal = {ArXiv preprint},
    title = {Ask-before-Plan: Proactive Language Agents for Real-World Planning},
    url = {https://arxiv.org/abs/2406.12639},
    year = {2024}
}
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.

Model tree for magicgh/CEP

Finetuned
(535)
this model

Dataset used to train magicgh/CEP