mirror of https://github.com/hpcaitech/ColossalAI
49 lines
1.5 KiB
Markdown
49 lines
1.5 KiB
Markdown
# Run GPT With Colossal-AI
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## How to Prepare Webtext Dataset
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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).
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You can also avoid dataset preparation by using `--use_dummy_dataset` during running.
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## Run this Demo
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Use the following commands to install prerequisites.
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```bash
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# assuming using cuda 11.3
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pip install -r requirements.txt
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```
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Use the following commands to execute training.
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```Bash
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#!/usr/bin/env sh
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# if you want to use real dataset, then remove --use_dummy_dataset
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# export DATA=/path/to/small-gpt-dataset.json'
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# run on a single node
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colossalai run --nproc_per_node=<num_gpus> train_gpt.py --config configs/<config_file> --from_torch --use_dummy_dataset
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# run on multiple nodes
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colossalai run --nproc_per_node=<num_gpus> \
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--master_addr <hostname> \
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--master_port <port-number> \
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--hosts <list-of-hostname-separated-by-comma> \
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train_gpt.py \
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--config configs/<config_file> \
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--from_torch \
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--use_dummy_dataset
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# run on multiple nodes with slurm
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srun python \
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train_gpt.py \
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--config configs/<config_file> \
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--host <master_node> \
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--use_dummy_dataset
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```
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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.
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