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-# Run GPT With Colossal-AI
-
-## How to Prepare Webtext Dataset
-
-You can download the preprocessed sample dataset for this demo via our [Google Drive sharing link](https://drive.google.com/file/d/1QKI6k-e2gJ7XgS8yIpgPPiMmwiBP_BPE/view?usp=sharing).
-
-
-You can also avoid dataset preparation by using `--use_dummy_dataset` during running.
-
-## Run this Demo
-
-Use the following commands to install prerequisites.
-
-```bash
-# assuming using cuda 11.3
-pip install -r requirements.txt
-```
-
-Use the following commands to execute training.
-
-```Bash
-#!/usr/bin/env sh
-# if you want to use real dataset, then remove --use_dummy_dataset
-# export DATA=/path/to/small-gpt-dataset.json'
-
-# run on a single node
-colossalai run --nproc_per_node=<num_gpus> train_gpt.py --config configs/<config_file> --from_torch
-
-# run on multiple nodes with slurm
-colossalai run --nproc_per_node=<num_gpus> \
-   --master_addr <hostname> \
-   --master_port <port-number> \
-   --hosts <list-of-hostname-separated-by-comma> \
-   train_gpt.py \
-   --config configs/<config_file> \
-   --from_torch \
-   --use_dummy_dataset
-
-# run on multiple nodes with slurm
-srun python \
-   train_gpt.py \
-   --config configs/<config_file> \
-   --host <master_node> \
-   --use_dummy_dataset
-
-```
-
-You can set the `<config_file>` to any file in the `configs` folder. To simply get it running, you can start with `gpt_small_zero3_pp1d.py` on a single node first. You can view the explanations in the config file regarding how to change the parallel setting.