* Change to 'pip install .. --extra-index-url' for readthedocs
* Change to 'pip install .. --extra-index-url' for examples
* Change to 'pip install .. --extra-index-url' for remaining files
* Fix URL for ipex
* Add links for ipex US and CN servers
* Update ipex cpu url
* remove readme
* Update for github actions
* Update for dockerfiles
* Add LangChain upstream ut test for ipynb
* Integrate unit test for LangChain upstream ut and ipynb into one file
* Modify file name
* Remove LangChain version update in unit test
* Move Langchain upstream ut job to arc
* Modify path in .yml file
* Modify path in llm_unit_tests.yml
* Avoid create directory repeatedly
* add test_llamaindex of gpu
* add llamaindex gpu tests bash
* add llamaindex cpu tests bash
* update name of Run LLM langchain GPU test
* import llama_index in llamaindex gpu ut
* update the dependency of test_llamaindex
* add Run LLM llamaindex GPU test
* modify import dependency of llamaindex cpu test
* add Run LLM llamaindex test
* update llama_model_path
* delete unused model path
* add LLAMA2_7B_ORIGIN_PATH in llamaindex cpu test
* first draft
* fix
* add readme for transformer_int4_gpu
* fix doc
* check device_map
* add arc ut test
* fix ut test
* fix langchain ut
* Refine README
* fix gpu mem too high
* fix ut test
---------
Co-authored-by: Ariadne <wyn2000330@126.com>
* Update default xpu to ipex 2.1
* Update related install ut support correspondingly
* Add arc ut tests for both ipex 2.0 and 2.1
* Small fix
* Diable ipex 2.1 test for now as oneapi 2024.0 has not beed installed on the test machine
* Update document for default PyTorch 2.1
* Small fix
* Small fix
* Small doc fixes
* Small fixes
* 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 py310 test for llm-unit-test.
* add py310 llm-unit-tests
* add llm-cpp-build-py310
* test
* test
* test.
* test
* test
* fix deactivate.
* fix
* fix.
* fix
* test
* test
* test
* add build chatglm for win.
* test.
* fix
* Add test script and workflow for qlora fine-tuning
* Test fix export model
* Download dataset
* Fix export model issue
* Reduce number of training steps
* Rename script
* Correction
* Add gpu workflow and a transformers API inference test
* Set device-specific env variables in script instead of workflow
* Fix status message
---------
Co-authored-by: sgwhat <ge.song@intel.com>
* add ut for mistral model
* update
* fix model path
* upgrade transformers version for mistral model
* refactor correctness ut for mustral model
* refactor mistral correctness ut
* revert test_optimize_model back
* remove mistral from test_optimize_model
* add to revert transformers version back to 4.31.0
* add new API for optimize any pytorch models
* change test util name
* revise API and update UT
* fix python style
* update ut config, change default value
* change defaults, disable ut transcribe
* deprecate BigDLNativeTransformers and add specific LMEmbedding method
* deprecate and add LM methods for langchain llms
* add native params to native langchain
* new imple for embedding
* move ut from bigdlnative to casual llm
* rename embeddings api and examples update align with usage updating
* docqa example hot-fix
* add more api docs
* add langchain ut for starcoder
* support model_kwargs for transformer methods when calling causalLM and add ut
* ut fix for transformers embedding
* update for langchain causal supporting transformers
* remove model_family in readme doc
* add model_families params to support more models
* update api docs and remove chatglm embeddings for now
* remove chatglm embeddings in examples
* new refactor for ut to add bloom and transformers llama ut
* disable llama transformers embedding ut
