* harness: run llama2-7b
* harness: run llama2-7b
* harness: run llama2-7b
* harness: run llama2-7b
* edit-gpu-doc
* fix some format problem
* fix spelling problems
* fix evaluation yml
* delete redundant space
* fix some problems
* address comments
* change link
* trigger pr temparorily
* Saparate benchmark run for win igpu based in in-out pairs
* Rename fix
* Test workflow
* Small fix
* Skip generation of html for now
* Change back to nightly triggered
* update bigdl_llm.py
* update the installation of harness
* fix partial function
* import ipex
* force seq len in decrease order
* put func outside class
* move comments
* default 'trust_remote_code' as True
* Update llm-harness-evaluation.yml
* Add supports for loading rwkv models using from_pretrained api
* Temporarily enable pr tests
* Add RWKV in tests and more in-out pairs
* Add rwkv for 512 tests
* Make iterations smaller
* Change back to nightly trigger
* Temp enable PR
* Enable tests for 256-64
* Try again 128-64
* Empty cache after each iteration for igpu benchmark scripts
* Try tests for 512
* change order for 512
* Skip chatglm3 and llama2 for now
* Separate tests for 512-64
* Small fix
* Further fixes
* Change back to nightly again
* Add cpu int4 example for BlueLM
* addexample optimize_model cpu for bluelm
* add example gpu int4 blueLM
* add example optimiza_model GPU for bluelm
* Fixing naming issues and BigDL package version.
* Fixing naming issues...
* Add BlueLM in README.md "Verified Models"
* Add support for win gpu benchmark with peak gpu memory monitoring
* Add win igpu tests
* Small fix
* Forward outputs
* Small fix
* Test and small fixes
* Small fix
* Small fix and test
* Small fixes
* Add tests for 512-64 and change back to nightly tests
* Small fix
* modify output_path as a directory
* schedule nightly at 21 on Friday
* add tasks and models for nightly
* add accuracy regression
* comment out if to test
* mixed fp4
* for test
* add missing delimiter
* remove comma
* fixed golden results
* add mixed 4 golden result
* add more options
* add mistral results
* get golden result of stable lm
* move nightly scripts and results to test folder
* add license
* add fp8 stable lm golden
* run on all available devices
* trigger only when ready for review
* fix new line
* update golden
* add mistral
* [LLM] Multi-process and distributed QLoRA on CPU platform
* Update README.md
* Update README.md
* Update README.md
* Update README.md
* enable llm-init and bind to socket
* refine
* Update Dockerfile
* add all files of qlora cpu example to /bigdl
* fix
* fix k8s
* Update bigdl-qlora-finetuing-entrypoint.sh
* Update bigdl-qlora-finetuing-entrypoint.sh
* Update bigdl-qlora-finetuning-job.yaml
* fix train sync and performance issues
* add node affinity
* disable user to tune cpu per pod
* Update bigdl-qlora-finetuning-job.yaml