GitLab

* app use async engine

* add stop logic

* app update cancel

* app support restful-api

* update doc and use the right model name

* set doc url root

* add comments

* add an example

* renew_session

* update readme.md

* resolve comments

* Update restful_api.md

* Update restful_api.md

* Update restful_api.md

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Co-authored-by: tpoisonooo <khj.application@aliyun.com>

* Pad tok_embedding and output weights to make their shape divisible by TP

* update

* update

* update

* update

* update llamaBatch

* add restful api

* refine

* add simple doc

* lint

* add uvicorn requirement

* more args

* add llama2

* docstring

* update doc

* save

* refine

* lint

* better decode

* add v1/embedding

* add GenerateRequest

* add llama2 chat template

* correct profiling

* update documents

* add length judge

* add faq

* update doc and rename req_que to req_queue

* fix md link, use get_logger, fix sequence_end bug

* use another doc link for go to avoid lint error

* add api_client.py

* update doc

* update doc

* update function interface

* update FAQ

* resolve comments

* pass args like meta_prompt to model

* update chatbot

* update

* rollback

* update llama2 and qwen

* refine

* qwen support

* dynamic ntk & logn attn

* fix ntk & add chat template

* fix ntk scaling & stop words

* fix lint

* add tiktoken to requirements.txt

* fix tokenizer, set model format automatically

* update model.py

* update readme

* fix lint

* import if lib directory exists

* only modify app.py

* rollback

* rollback chatbot.py

* add w4a16

* fix `deploy.py`

* add doc

* add w4a16 kernels

* fuse w1/w3 & bugfixes

* fix typo

* python

* guard sm75/80 features

* add missing header

* refactor

* qkvo bias

* update cost model

* fix lint

* update `deploy.py`

* add non-stream inference api for chatbot

* update according to reviewer's comments

* change to incremental decoding

* update

* 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

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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

* defer symlink

* fix lint

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

* 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

* Fix lmdeploy.serve.turbomind bug
* add __init__.py for turbomind
* add resume function
* fix the assignment for session.response

* Fix code style

* 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

* 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

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

* add puyu model for internal use

* get/set session

* update

* add docstring

* 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