Added adaptation code, conversion code, and scripts for Qwen models.

[ZHAOTING]

This PR enables pre-training and continual pre-training of Qwen models.

We have used the code for continually pre-training Qwen-14B on 66B tokens of Japanese data and produced Nekomata-14B. It is part of the AWS LLM development support program in Japan, and thus we hope to release the code in addition to the already released model weights.

Changes include,

• Code for model weights conversion between HF and Nemo checkpoints.
• A new config option that enables QKV bias individually.
• Minor model code changes that reflect the above option.
• trust_remote_code=True when loading AutoTokenizer for the Qwen tokenizer.
• transformers>=4.32.0 and tiktoken in requirements.txt.
• Training config files and scripts.

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