GitLab

* [feat][chatgpt]train prompts on ray example

* [fix]simplify code

* [fix]remove depreciated parameter

* [fix]add dependencies

* [fix]method calling

* [fix]experience maker

* [fix]missing loss function

* [fix]init optimizer

* [feat]add usage comment

* [fix]rename files

* [fix]add readme

* [fix]file path

* [fix]move directory

---------
Co-authored-by: jiangwen <zxl265370@antgroup.com>

* [chat] clean up duplicate tutorial

* [chat] clean up duplicate tutorial

* [chat] clean up duplicate tutorial

* [chat] clean up duplicate tutorial

Format Optimization ,Add [] outside of DeepSpeed

Delete more ")"

Fixing document link errors using absolute paths

* [gemini] fix nvme optimizer init

* [gemini] gemini supports lazy init

* [gemini] add init example

* [gemini] add fool model

* [zero] update gemini ddp

* [zero] update init example

* add chunk method

* add chunk method

* [lazyinit] fix lazy tensor tolist

* [gemini] fix buffer materialization

* [misc] remove useless file

* [booster] update gemini plugin

* [test] update gemini plugin test

* [test] fix gemini plugin test

* [gemini] fix import

* [gemini] fix import

* [lazyinit] use new metatensor

* [lazyinit] use new metatensor

* [lazyinit] fix __set__ method

[checkpoint]  Shard saved checkpoint need to be compatible with the naming format of hf checkpoint files  (#3479)

* [checkpoint] support huggingface style sharded checkpoint, to be compatible with hf file naming format

* [checkpoint] support huggingface style sharded checkpoint, to be compatible with hf file naming format

* [checkpoint] Shard saved checkpoint add 'variant' field to customize filename

* [checkpoint] Shard saved checkpoint add 'variant' field to customize filename

* [checkpoint] Shard saved checkpoint add 'variant' field to customize filename

* [checkpoint] Shard saved checkpoint add 'variant' field to customize filename

---------
Co-authored-by: luchen <luchen@luchendeMacBook-Pro.local>
Co-authored-by: luchen <luchen@luchendeMBP.lan>

Co-authored-by: Yuanchen Xu <yuanchen.xu00@gmail.com>

- [ ] Stable Diffusion
- [ ] Dreambooth
It's easy for users to think that we don't support them yet. Add them after migrating them from example to application
https://github.com/hpcaitech/ColossalAI/tree/main/examples/images

* [doc] add requirement and highlight application

* [doc] link example and application

* Update README.md

* Update README.md

* Update README.md

* Update README.md

---------
Co-authored-by: Fazzie-Maqianli <55798671+Fazziekey@users.noreply.github.com>

* mv LlamaForCausalLM to LlamaModel

* rm unused imports

---------
Co-authored-by: gongenlei <gongenlei@baidu.com>

* update roberta example

* update roberta example

* modify conflict & update roberta

* update roberta example

* update roberta example

* Update requirements.txt

* Update environment.yaml

* Update README.md

* Update environment.yaml

* Update README.md

* Update README.md

* Delete requirements_colossalai.txt

* Update requirements.txt

* Update README.md

* [checkpoint] support huggingface style sharded checkpoint

* [checkpoint] support huggingface style sharded checkpoint

* [checkpoint] support huggingface style sharded checkpoint

* [checkpoint] support huggingface style sharded checkpoint

* [checkpoint] support huggingface style sharded checkpoint

---------
Co-authored-by: luchen <luchen@luchendeMBP.lan>

* [test] added spawn decorator

* polish code

* polish code

* polish code

* polish code

* polish code

* polish code

* Update ppo.py

Fix the bug of fetching wrong batch data

* Add peft model support in SFT and Prompts training

In stage-1 and stage-3, the peft model supports are added. So the trained artifacts will be only a small lora additions instead of the whole bunch of files.

* Delete test_prompts.txt

* Delete test_pretrained.txt

* Move the peft stuffs to a community folder.

* Move the demo sft to community

* delete dirty files

* Add instructions to install peft using source

* Remove Chinese comments

* remove the Chinese comments

The function save_model should be a part of PPOTrainer.

* fix stage 2

fix stage 2

* add torch

* Add RoBERTa for RLHF Stage 2 & 3 (test)

RoBERTa for RLHF Stage 2 & 3 (still in testing)

* Revert "Add RoBERTa for RLHF Stage 2 & 3 (test)"

This reverts commit 06741d894dcbe958acd4e10d771f22275e20e368.

* Add RoBERTa for RLHF stage 2 & 3

1. add roberta folder under model folder
2. add  roberta option in train_reward_model.py
3. add some test in testci

* Update test_ci.sh

* Revert "Update test_ci.sh"

This reverts commit 9c7352b81766f3177d31eeec0ec178a301df966a.

* Add RoBERTa for RLHF Stage 2 & 3 (test)

RoBERTa for RLHF Stage 2 & 3 (still in testing)

* Revert "Add RoBERTa for RLHF Stage 2 & 3 (test)"

This reverts commit 06741d894dcbe958acd4e10d771f22275e20e368.

* Add RoBERTa for RLHF stage 2 & 3

1. add roberta folder under model folder
2. add  roberta option in train_reward_model.py
3. add some test in testci

* Update test_ci.sh

* Revert "Update test_ci.sh"

This reverts commit 9c7352b81766f3177d31eeec0ec178a301df966a.

* update roberta with coati

* chat ci update

* Revert "chat ci update"

This reverts commit 17ae7ae01fa752bd3289fc39069868fde99cf846.

* [Chat] fix the tokenizer "int too big to convert" error in SFT training

fix the tokenizer error during SFT training using Bloom and OPT

Co-authored-by: Yuanchen Xu <yuanchen.xu00@gmail.com>

* [autoparallel] integrate new analyzer in module level

* unify the profiling method

* polish

* fix no codegen bug

* fix pass bug

* fix liveness test

* polish

* [zero] update legacy import

* [zero] update examples

* [example] fix opt tutorial

* [example] fix opt tutorial

* [example] fix opt tutorial

* [example] fix opt tutorial

* [example] fix import

Co-authored-by: Yuanchen Xu <yuanchen.xu00@gmail.com>

* [checkpoint] refactored the API and added safetensors support

* polish code

* [zero] refactor low-level zero folder structure

* [zero] fix legacy zero import path

* [zero] fix legacy zero import path

* [zero] remove useless import

* [zero] refactor gemini folder structure

* [zero] refactor gemini folder structure

* [zero] refactor legacy zero import path

* [zero] refactor gemini folder structure

* [zero] refactor gemini folder structure

* [zero] refactor gemini folder structure

* [zero] refactor legacy zero import path

* [zero] fix test import path

* [zero] fix test

* [zero] fix circular import

* [zero] update import

fix sft training for bloom, gpt and opt