GitLab

* add docstring

* update

* update

* fix according to review results

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

* update internlm model

* update

* update

* update

* update

* update temperature, topk and top_p

* update

* update

* loosen log level

* 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

* 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

* add hf tokenizer

* format

* fix for comment

* don't skip speical tokens

* 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

* support attention bias

* fix conflict

* remove constraints on model name

* remove duplicate model converter

* add scripts for deploying llama family models via fastertransformer

* fix

* fix

* set symlinks True when copying triton models templates

* pack model repository for triton inference server

* add exception

* fix

* update config.pbtxt and launching scripts