GitLab

* Support CORS for openai api server

* Remove unnecessary var

* Add CORS support follow the same style with vllm

* expose stop words

* support string

* fix

* remove eoa from chatbot

* remove eoa of turbomind

* fix ut

* suffix wheel and fix InternLM no system bug

Fix side effect brought by supporting codellama: `sequence_start` is always true when calling `model.get_prompt` (#466)

* better profiler

* wait for releasing mem

* remove fire

* remove support for multiple model benchmark

* comments

* support actual seqlen

* change chat template

* update

* fix ut

* int->size_t

* output more details

* correct tp

* rollback

* update

* update readme

* add 'internlm-chat' as the default tag for internlm chat models

* rollback tokenizer

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

* fix token count bug

* fix error response

* tmp

* add demo for codellama inference

* update

* update

* update

* update codellama.md

* export rope_theta

* update

* update doc

* fix client.py

* define SamplingParam

* rollback 'end'

* rotary_emb_base to rotary_embedding_base

* change to baichuan2-7b

* support baichuan2-chat

* update args from generation config

* update deploy.py

* update readme

* tested with tp

* step-1 when last id is eos

* add news

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

Co-authored-by: sleepwalker <just_for_singing@foxmail.com>

* read data after start processes

* fix hang

* fix exceptions when request_output_len is 0

* add incremental decoding for turbomind

* update TIS

* fix triton post processing

* update doc

* fix typo

* SentencePieceTokenizer incremental decode, add qwen message prompt

* docstring

* update bot

* pack llama_gemm

* update CMakeLists.txt

* remove candidate

* update MANIFEST.in

* fix(kvint8): update doc

* style(lmdeploy): format

* style(kv_qparams.py): linting

* fix lint

* Update kv_int8.md

* Update kv_int8.md

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

* 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>

* support decode

* unit test and benckmark and improve

* remove some drafts

* enable numerical test

* minor

* add some benchmark data

* add more output

* update interface

* remove debugs

* format

* update docstring

* remove print and add benchmark results

* use logits & add main

* fix rb

* dump large

* update test

* update test decode

* add decimal

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

* update

* update

* update

* update

* update llamaBatch

* fix llama2 70b

* fix qwen quantization

* remove pdb

* add faq

* 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

* feat(quantization): kv cache use asymmetric

* 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`