mirror of
https://github.com/hpcaitech/ColossalAI.git
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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>
27 lines
814 B
Python
Executable File
27 lines
814 B
Python
Executable File
from .conversation import Conversation, setup_conversation_template
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from .loader import (
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DataCollatorForPreferenceDataset,
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DataCollatorForPromptDataset,
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DataCollatorForSupervisedDataset,
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StatefulDistributedSampler,
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load_tokenized_dataset,
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setup_distributed_dataloader,
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)
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from .tokenization_utils import supervised_tokenize_sft, tokenize_prompt_dataset, tokenize_rlhf
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__all__ = [
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"tokenize_prompt_dataset",
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"DataCollatorForPromptDataset",
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"is_rank_0",
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"DataCollatorForPreferenceDataset",
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"DataCollatorForSupervisedDataset",
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"StatefulDistributedSampler",
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"load_tokenized_dataset",
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"setup_distributed_dataloader",
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"supervised_tokenize_pretrain",
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"supervised_tokenize_sft",
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"tokenize_rlhf",
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"setup_conversation_template",
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"Conversation",
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]
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