Fix SQ baichuan without position_ids for torch and ipex 2.3.0

[changwangss]

Type of Change

ticket: https://jira.devtools.intel.com/browse/ILITV-3631
ipex 2.3.0 optimized baichuan 13b without position_ids, so remove it.
meantime, ipex 2.3.0 offically supported transformers 4.38.1, so change the tuning and benchmark files.
update ipex 2.3.0 optmize llm supported list.
remove llama version limit when transformers higher than 4.36

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JIRA ticket: xxx

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Dependency Change?

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[github-actions]

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[changwangss]

https://inteltf-jenk.sh.intel.com/view/nlp-toolkit-validation/job/nlp-toolkit-validation-top-mr-extension/1635/

[changwangss]

https://inteltf-jenk.sh.intel.com/view/nlp-toolkit-validation/job/nlp-toolkit-validation-top-mr-extension/1637/

[changwangss]

https://inteltf-jenk.sh.intel.com/job/nlp_toolkit_optimize_validation_localtest/7810/
https://inteltf-jenk.sh.intel.com/job/nlp_toolkit_optimize_validation_localtest/7812/

[changwangss]

https://inteltf-jenk.sh.intel.com/view/nlp-toolkit-validation/job/nlp-toolkit-validation-top-mr-extension/1646/
https://inteltf-jenk.sh.intel.com/view/nlp-toolkit-validation/job/nlp-toolkit-validation-top-mr-extension/1647/