[LLM] Support prefix tuning and lora for qwen2

[DrownFish19]

PR types

Function optimization

PR changes

Models

Description

1. support prefix tuning and lora;
2. fix modeling and tokenizer when tie_word_embedding=True (Qwen1.5-0.5B, Qwen2-0.5B, Qwen2-1.5B);
3. fix pipeline and sequence parallel;
4. add unittest;
5. add llm unittest;
6. upload pretrain, sft, and lora configs.

[paddle-bot[bot]]

Thanks for your contribution!

[codecov[bot]]

Codecov Report

Attention: Patch coverage is 52.32558% with 41 lines in your changes missing coverage. Please review.

Project coverage is 54.73%. Comparing base (970b868) to head (cb19d31).

Files	Patch %	Lines
paddlenlp/transformers/qwen2/modeling_pp.py	34.37%	21 Missing :warning:
paddlenlp/transformers/qwen2/modeling.py	68.42%	12 Missing :warning:
paddlenlp/transformers/qwen2/tokenizer.py	41.66%	7 Missing :warning:
paddlenlp/transformers/model_utils.py	50.00%	1 Missing :warning:

Additional details and impacted files

```diff @@ Coverage Diff @@ ## develop #8601 +/- ## =========================================== + Coverage 54.18% 54.73% +0.55% =========================================== Files 625 625 Lines 98942 98985 +43 =========================================== + Hits 53612 54180 +568 + Misses 45330 44805 -525 ```

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