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examples/language/gpt/titans/README.md

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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.