GitLab

* fix import bug and release useless init

* fix

* fix

* fix

* fix imports

* add ray-serve with Colossal-Infer tp

* trivial: send requests script

* add README

* fix worker port

* fix readme

* use app builder and autoscaling

* trivial: input args

* clean code; revise readme

* testci (skip example test)

* use auto model/tokenizer

* revert imports fix (fixed in other PRs)

* add Colossal-Inference serving example w/ TorchServe

* add dockerfile

* fix dockerfile

* fix dockerfile: fix commit hash, install curl

* refactor file structure

* revise readme

* trivial

* trivial: dockerfile format

* clean dir; revise readme

* fix comments: fix imports and configs

* fix formats

* remove unused requirements

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

* [chat] fix gemini strategy

* [chat] fix gemini strategy

* [chat] fix gemini strategy

* [chat] fix gemini strategy

* g# This is a combination of 2 commits.

[chat] fix gemini strategy

fox

* [chat] fix gemini strategy

update llama2 example

[chat] fix gemini strategy

* [fix] fix gemini strategy

* [fix] fix gemini strategy

* [fix] fix gemini strategy

* [fix] fix gemini strategy

* [fix] fix gemini strategy

* [fix] fix gemini strategy

* [fix] fix gemini strategy

* [fix] fix gemini strategy

* [fix] fix gemini strategy

* [fix] fix gemini strategy

* fix

* fix

* fix

* fix

* fix

* Update train_prompts.py

Co-authored-by: github-actions <github-actions@github.com>

change filename:
pretraining.py -> trainin.py
there is no file named pretraing.py. wrong writing

[doc] Update TODO in README of Colossal-LLaMA-2

* [lazy] patch from pretrained

* [lazy] fix from pretrained and add tests

* [devops] update ci

* support unsharded saving/loading for model

* support optimizer unsharded saving

* update doc

* support unsharded loading for optimizer

* small fix

* fix example format in docstring

* polish shardformer doc

* [fix] fix weekly runing example

* [fix] fix weekly runing example

* [doc] add llama2 domain-specific solution news

* Add ColossalEval

* Delete evaluate in Chat

---------
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: Tong Li <tong.li352711588@gmail.com>

* [release] update version

* [doc] revert versions

* add chatglm2

* add

* gather needed kernels

* fix some bugs

* finish context forward

* finish context stage

* fix

* add

* pause

* add

* fix bugs

* finish chatglm

* fix bug

* change some logic

* fix bugs

* change some logics

* add

* add

* add

* fix

* fix tests

* fix

* [gptq] add gptq kernel (#4416)

* add gptq

* refactor code

* fix tests

* replace auto-gptq

* rname inferance/quant

* refactor test

* add auto-gptq as an option

* reset requirements

* change assert and check auto-gptq

* add import warnings

* change test flash attn version

* remove example

* change requirements of flash_attn

* modify tests

* [skip ci] change requirements-test

* [gptq] faster gptq cuda kernel (#4494)

* [skip ci] add cuda kernels

* add license

* [skip ci] fix max_input_len

* format files & change test size

* [skip ci]

* [gptq] add gptq tensor parallel (#4538)

* add gptq tensor parallel

* add gptq tp

* delete print

* add test gptq check

* add test auto gptq check

* [gptq] combine gptq and kv cache manager (#4706)

* combine gptq and kv cache manager

* add init bits

* delete useless code

* add model path

* delete usless print and update test

* delete usless import

* move option gptq to shard config

* change replace linear to shardformer

* update bloom policy

* delete useless code

* fix import bug and delete uselss code

* change colossalai/gptq to colossalai/quant/gptq

* update import linear for tests

* delete useless code and mv gptq_kernel to kernel directory

* fix triton kernel

* add triton import

* Fix the version check bug in colossalai run when generating the cmd.

* polish code

* [lazy] support _like methods and clamp

* [lazy] pass transformers models

* [lazy] fix device move and requires grad

* [lazy] fix requires grad and refactor api

* [lazy] fix requires grad

* feat: modify lora merge weights fn

* feat: add lora merge weights config

* [doc] clean up outdated docs

* [doc] fix linking

* [doc] fix linking

* fix master param sync for hybrid plugin

* rewrite unwrap for ddp/fsdp

* rewrite unwrap for zero/gemini

* rewrite unwrap for hybrid plugin

* fix geemini unwrap

* fix bugs

* feat: modify forward fn of critic and reward model

* feat: modify calc_action_log_probs

* to: add wandb in sft and rm trainer

* feat: update train_sft

* feat: update train_rm

* style: modify type annotation and add warning

* feat: pass tokenizer to ppo trainer

* to: modify trainer base and maker base

* feat: add wandb in ppo trainer

* feat: pass tokenizer to generate

* test: update generate fn tests

* test: update train tests

* fix: remove action_mask

* feat: remove unused code

* fix: fix wrong ignore_index

* fix: fix mock tokenizer

* chore: update requirements

* revert: modify make_experience

* fix: fix inference

* fix: add padding side

* style: modify _on_learn_batch_end

* test: use mock tokenizer

* fix: use bf16 to avoid overflow

* fix: fix workflow

* [chat] fix gemini strategy

* [chat] fix

* sync: update colossalai strategy

* fix: fix args and model dtype

* fix: fix checkpoint test

* fix: fix requirements

* fix: fix missing import and wrong arg

* fix: temporarily skip gemini test in stage 3

* style: apply pre-commit

* fix: temporarily skip gemini test in stage 1&2

---------
Co-authored-by: Mingyan Jiang <1829166702@qq.com>

[doc] explain suitable use case for each plugin