GitLab

* add

* import fire in main

* wrap to speed up fire cli

* update

* update docs

* update docs

* fix

* resolve commennts

* resolve confict and add test for cli

* fix(kvint8): update doc

* style(lmdeploy): format

* style(kv_qparams.py): linting

* fix lint

* Update kv_int8.md

* Update kv_int8.md

---------
Co-authored-by: AllentDan <AllentDan@yeah.net>

* fix llama2 70b

* fix qwen quantization

* remove pdb

* add faq

* feat(quantization): kv cache use asymmetric

* 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

* add get_small_sharded_hf.py

* fix pre-commit

* fix get_dataset error

* fix lint

* add datasets to requirements.txt

* update some msci

* 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