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* add some docstrings.

* update docstring.

fix

* ignore magic methods

* feat(deploy.py): support w pack qkv

* previous merged

* add chinese

* support torch<2

* add a docstring

* fix typo

* rename torch submodule

* rename to pytorch

* rename in readme

* draft torch client

* deal with space of tokenizer

* support tensor parallel

* fix

* fix

* move folder

* move instruction to readme

* move to torch/

* rename client to chat

* very bad response

* stash

* rename streamer

* support internlm

* change default args

* remove test

* improve instructions

* remove module docstring

* decrease header level of torch model

* streaming-output

* fix end

* fix profile

* support chinese streaming

* lint

* update chat

* lint

* fix benchmark

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

* update internlm model

* update

* update

* update

* update

* update temperature, topk and top_p

* update

* update

* loosen log level

* fix(kv_qparams.py): zp use min

* revert(qparams.py): revert format

* fix(kv_qparams.py): update formula

* 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

* wip

* wip

* example finish

* fix include and namespace

* wtf

* install lib

* batchize

* update cmake install

* multithread

* fix comment

* fix

* add mmengine

* bind llamamodel

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

* change target tritonfastertransformerbackend to tritonturbomindbackend

* install targets to backends/turbomind

* changge model_dir

* rename lmdeploy/serve/fastertransformer to lmdeploy/serve/turbomind

* update

* update

* change llmdeploy to lmdeploy

* update logo

* update readme