mirror of https://github.com/hpcaitech/ColossalAI
edd75a59ea
* feat: remove on_learn_epoch fn as not used * revert: add _on_learn_epoch fn * to: remove the use of NaiveStrategy * test: remove NaiveStrategy tests * feat: remove NaiveStrategy * style: modify comments and params * feat: split ColossalAIStrategy into LowLevelZeroStrategy and GeminiStrategy * fix: remove naive * fix: align with modified colossal strategy * fix: fix ddp _try_init_dist arg |
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| README.md | ||
| ray_job_script.py | ||
| train_prompts_on_ray.py | ||
README.md
ColossalAI on Ray
Abstract
This is an experimental effort to run ColossalAI Chat training on Ray
How to use?
1. Setup Ray clusters
Please follow the official Ray cluster setup instructions to setup an cluster with GPU support. Record the cluster's api server endpoint, it should be something similar to http://your.head.node.addrees:8265
2. Clone repo
Clone this project:
git clone https://github.com/hpcaitech/ColossalAI.git
3. Submit the ray job
python applications/Chat/examples/community/ray/ray_job_script.py http://your.head.node.addrees:8265
4. View your job on the Ray Dashboard
Open your ray cluster dashboard http://your.head.node.addrees:8265 to view your submitted training job.