mirror of
https://github.com/hpcaitech/ColossalAI.git
synced 2025-05-12 02:21:04 +00:00
df5e9c53cf
* Add dpo. Fix sft, ppo, lora. Refactor all * fix and tested ppo * 2 nd round refactor * add ci tests * fix ci * fix ci * fix readme, style * fix readme style * fix style, fix benchmark * reproduce benchmark result, remove useless files * rename to ColossalChat * use new image * fix ci workflow * fix ci * use local model/tokenizer for ci tests * fix ci * fix ci * fix ci * fix ci timeout * fix rm progress bar. fix ci timeout * fix ci * fix ci typo * remove 3d plugin from ci temporary * test environment * cannot save optimizer * support chat template * fix readme * fix path * test ci locally * restore build_or_pr * fix ci data path * fix benchmark * fix ci, move ci tests to 3080, disable fast tokenizer * move ci to 85 * support flash attention 2 * add all-in-one data preparation script. Fix colossal-llama2-chat chat template * add hardware requirements * move ci test data * fix save_model, add unwrap * fix missing bos * fix missing bos; support grad accumulation with gemini * fix ci * fix ci * fix ci * fix llama2 chat template config * debug sft * debug sft * fix colossalai version requirement * fix ci * add sanity check to prevent NaN loss * fix requirements * add dummy data generation script * add dummy data generation script * add dummy data generation script * add dummy data generation script * update readme * update readme * update readme and ignore * fix logger bug * support parallel_output * modify data preparation logic * fix tokenization * update lr * fix inference * run pre-commit --------- Co-authored-by: Tong Li <tong.li352711588@gmail.com>
32 lines
940 B
Python
Executable File
32 lines
940 B
Python
Executable File
import sys
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from ray.job_submission import JobSubmissionClient
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def main(api_server_endpoint="http://127.0.0.1:8265"):
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client = JobSubmissionClient(api_server_endpoint)
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client.submit_job(
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entrypoint="python experimental/ray/train_prompts_on_ray.py --strategy colossalai_zero2 --prompt_csv_url https://huggingface.co/datasets/fka/awesome-chatgpt-prompts/resolve/main/prompts.csv",
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runtime_env={
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"working_dir": "applications/Chat",
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"pip": [
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"torch==1.13.1",
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"transformers>=4.20.1",
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"datasets",
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"loralib",
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"colossalai>=0.2.4",
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"langchain",
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"tokenizers",
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"fastapi",
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"sse_starlette",
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"wandb",
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"sentencepiece",
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"gpustat",
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],
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},
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)
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if __name__ == "__main__":
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main(sys.argv[1])
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