* Change installation address
Change former address: "https://docs.conda.io/en/latest/miniconda.html#" to new address: "https://conda-forge.org/download/" for 63 occurrences under python\llm\example
* Change Prompt
Change "Anaconda Prompt" to "Miniforge Prompt" for 1 occurrence
* Create and update model minicpm
* Update model minicpm
Update model minicpm under GPU/PyTorch-Models
* Update readme and generate.py
change "prompt = tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=False)" and delete "pip install transformers==4.37.0
"
* Update comments for minicpm GPU
Update comments for generate.py at minicpm GPU
* Add CPU example for MiniCPM
* Update minicpm README for CPU
* Update README for MiniCPM and Llama3
* Update Readme for Llama3 CPU Pytorch
* Update and fix comments for MiniCPM
* Add some information to help users to solve "could not create a primitive" error in Windows.
* Small update
---------
Co-authored-by: ATMxsp01 <shou.xu@intel.com>
Co-authored-by: Yuwen Hu <yuwen.hu@intel.com>
* Update installation guide for pipeline parallel inference
* Small fix
* further fix
* Small fix
* Small fix
* Update based on comments
* Small fix
* Small fix
* Small fix
* add batch 2&4 and exclude to perf_test
* modify the perf-test&437 yaml
* modify llm_performance_test.yml
* remove batch 4
* modify check_results.py to support batch 2&4
* change the batch_size format
* remove genxir
* add str(batch_size)
* change actual_test_casese in check_results file to support batch_size
* change html highlight
* less models to test html and html_path
* delete the moe model
* split batch html
* split
* use installing from pypi
* use installing from pypi - batch2
* revert cpp
* revert cpp
* merge two jobs into one, test batch_size in one job
* merge two jobs into one, test batch_size in one job
* change file directory in workflow
* try catch deal with odd file without batch_size
* modify pandas version
* change the dir
* organize the code
* organize the code
* remove Qwen-MOE
* modify based on feedback
* modify based on feedback
* modify based on second round of feedback
* modify based on second round of feedback + change run-arc.sh mode
* modify based on second round of feedback + revert config
* modify based on second round of feedback + revert config
* modify based on second round of feedback + remove comments
* modify based on second round of feedback + remove comments
* modify based on second round of feedback + revert arc-perf-test
* modify based on third round of feedback
* change error type
* change error type
* modify check_results.html
* split batch into two folders
* add all models
* move csv_name
* revert pr test
* revert pr test
---------
Co-authored-by: Yishuo Wang <yishuo.wang@intel.com>
* Fix ipex auto importer with Python builtins.
* Raise errors if the user imports ipex manually before importing ipex_llm. Do nothing if they import ipex after importing ipex_llm.
* Remove import ipex in examples.
