GitLab

* Update quantization.md

* docs(quantization): update description

* docs(README): rename quantization files

* __PRETTY_FUNCTION__

* CASE_K

* uint

* remove not

* HALF_FLT_MAX

* struct init

* port utils

* better build pthread-win32

* port kernels

* port utils/gemm_test

* hide windows header

* port models

* port examples && triton_backend && unittests

* update build readme

* fix lint

* fix lint

* fix lint

* fix lint

* fix lint

* fix build

* fix build

* cmake version

* fix typos

* update ci

* port kernels/gemm_s_f16

* update ci

* fix ci

* use cudaStreamSynchronize instead of volatile check

* remove gettimeofday

* remove pthread-win32

* remove dirent.h

* update pre-commit

* update

* remove todo

* fix include

* fix build

* fix build

* fix build ci

* fix github action trigger

* update README

* fix linux-build ci

* remove windows folder

* fix lint

* update readme

* tmp

* update

* update

* update

* update

* update

* remove

* update

* update

* update news and add supported models

* fix typo

* add ampere note

* update supported models

* replace icon with yes or no

* avoid ambiguity

* fix typo

* fix auto_awq readme

* hide w_sym option

* support kv cache offload

* add dataloader docstring

* complete gitignore

* refactor collect mod fn

* add calibration

* fix lint

* add observers and quantizers

* fix lints

* add global available mixin

* fix lints

* split batch inference

* support smoothquant and awq

* update export kv scales

* fix lints

* fix some bugs

* update weight only usage

* update usage

* auto mapping and support smooth internlm

* trust remote code

* fix num head key error

* fix bias error

* align shape and pack order with llm-awq

* modified according to LZHgrla's comments.

* update gitignore

* fix kv qparams export error

* update usage

* decouple calibrate and awq

* update docstrings

* update api name

* update readme

* update readme

* update readme

* update readme

* update kv_qparams and readme

* fix typos

* use local model for webui

* local model for app.py

* lint

* remove print

* add seed

* comments

* fixed seesion_id

* support turbomind batch inference

* update app.py

* lint and docstring

* move webui to serve/gradio

* update doc

* update doc

* update docstring and rmeove print conversition

* log

* Update docs/zh_cn/build.md
Co-authored-by: Chen Xin <xinchen.tju@gmail.com>

* Update docs/en/build.md
Co-authored-by: Chen Xin <xinchen.tju@gmail.com>

* use latest gradio

* fix

* replace partial with InterFace

* use host ip instead of coolie

---------
Co-authored-by: Chen Xin <xinchen.tju@gmail.com>

* works on interlm and vicuna

* support GQA

* remove comment

* update readme, add logger, default tp=1

* remove log

* bump version to v0.0.2

* fix command

* update installation and inference section

* Doc: add Twitter link

* Doc: add a space

* Update README_zh-CN.md

* Update README.md

* Update README_zh-CN.md

* Update README.md

* Update README_zh-CN.md

* checkin benchmark on real conversation data

* change resolution

* update

* refactor model.py and support baichuan-7b

* remove model_name

* remove hard session_len

* export tokenizer.py to target dir

* remove model_name from client

* remove model_name

* update

* correct throughput equation

* fix session.response

* update serving.md

* update readme

* update according to review comments

* update

* update

* update

* update

* add GQA for llama2

* fix model conversion

* fix lint & remove dev log

* update news

* minor

* fix allocation size

* fix split_dim for w_qkv.bias

* add llama2 template

* update readme and fix lint

* update readme

* add bos

* add bos

* remove bos

* Update model.py

---------
Co-authored-by: grimoire <yaoqian@pjlab.org.cn>

* remove copy

* repetition_penalty=1

* add repetition_penalty to chat args

* update readme

* update readme

* update requirements

* update transformers version

* lint

* comments

* lint

* update requirements

* remove setup_requires

---------
Co-authored-by: dongchunyu <dongchunyu@pjlab.org.cn>

* docs: fix doc

* fix: fix lint

* [bugfix] Fix some docs' bug in 'serving'

* [bugfix] Fix some docs' bug in 'serving'

* Update README.md: use internlm-chat-7b

* Update README_zh-CN.md: use intern-chat-7b

* Doc: update discord and wechat link

* Doc: update discord and wechat link

* [Doc] add discord and wechat link

* [Doc] add discord and wechat link

* [Doc] add discord and wechat link

* [Doc] add discord and wechat link

* docs(serving.md): typo

* docs(README): quantization

* previous merged

* add chinese

* support torch<2

* add a docstring

* fix typo

* rename torch submodule

* rename to pytorch

* rename in readme

* update benchmark image

* update image url

* docs(README): fix script

* add performance

* use png

* update

* update

* update

* update

* update

* add demo gif

* add demo gif

* add cal qparams

* support offload inference

* add collect funtions (mod,weight)

* stats kv scales

* update init

* add user guide

* fix hints

* fix comments & support turbomind format

* update user guide

* fix slice kv cache error & support pileval dataset (used in llm-awq)

* fix wrong num heads slice

* update default dataset

* fix conflict

* fix hints

* fix hints

* add gitignore

* docs(README): update description

* docs(project): add quantization test results

* docs(README): reorder

* docs(quantization): add more description

* docs(README): remove openmmlab badge

* docs(README): scale up image

* docs(dir): add zh_cn subdir

* [Doc] add persistent batch inference

* update

* update

* Update README.md

* Update README_zh-CN.md

* change target tritonfastertransformerbackend to tritonturbomindbackend

* install targets to backends/turbomind

* changge model_dir

* build turbomind

* change namespace fastertransformer to turbomind

* change logger name

* change llmdeploy to lmdeploy

* update logo

* update readme

* add webui

* update readme

* resolve comments

* readme

* feat(src): add int8 and compile passed

* feat(kernels): fix

* feat(llama): update kernel

* feat(src): add debug

* fix(kernel): k_cache use int8_t pointer

* style(llama): clean code

* feat(deploy.py): revert to enable fmha

* style(LlamaV2): clean code

* feat(deploy.py): add default quant policy

* check-in dockerfile

* check-in dockerfile