* test support bitsandbytesconfig
* update style
* update cpu example
* update example
* update readme
* update unit test
* use bfloat16
* update logic
* use int4
* set defalut bnb_4bit_use_double_quant
* update
* update example
* update model.py
* update
* support lora example
* add arc stable version regression test
* empty gpu mem between different models
* triger ci
* comment spr test
* triger ci
* address kai's comments and disable ci
* merge fp8 and int4
* disable ci
* Move 1024 test just after 32-32 test; and enable all model for 1024-128
* Make sure python output encoding in utf-8 so that redirect to txt can always be success
* Upload results to ftp
* Small fix
* fix bf16 related issue
* fix
* update based on comment & add arc lora script
* update readme
* update based on comment
* update based on comment
* update
* force to bf16
* fix style
* move check input dtype into function
* update convert
* meet code review
* meet code review
* update merged model to support new training_mode api
* fix typo
* Add test for 1024-128 and enable more tests for 512-64
* Fix date in results csv name to the time when the performance is triggered
* Small fix
* Small fix
* further fixes
* Set BIGDL_IMPORT_IPEX default to true, i.e., auto import IPEX for XPU.
* Remove import intel_extension_for_pytorch as ipex from GPU example.
* Add support for bigdl-core-xe-21.
* add control to load hf model
* finish initial version of selective_batching
* temp
* finish
* Remove print statement
* fix error
* Apply yang's optimization
* a version that works
* We need to check kv_cache passed in, this could be an error. TODO: add fast decoding path
* format
* temp solution: not batching prefill requests
* a version that works for prefill batching
* format
* a solid version: works normally
* a temp version
* Solid version: remove redundant functions
* fix format
* format
* solid: add option to enable selective_batching
* remove logic for using transformer models
* format
* format
* solid: enable argument VLLM_ENABLE_SELECTIVE_BATCHING
* format
* finish
* format
* lora support and single card example
* support multi-card, refactor code
* fix model id and style
* remove torch patch, add two new class for bf16, update example
* fix style
* change to training_mode
* small fix
* add more info in help
* fixstyle, update readme
* fix ut
* fix ut
* Handling compatibility issues with default LoraConfig