[Feature] Simplify entry script

[gaotongxiao]

Motivation

Introduce two ways to launch an evaluation task, trying to get rid of the configuration file in some simple tasks.

Apart from running from a config, this PR enables users to launch tasks in two additional ways:

1. Running evaluation from configs provided in configs/models and configs/datasets:

   python run.py --models hf_llama_7b --datasets mmlu_gen ceval_gen

2. Without a model configuration file, users can specify the specs in CLI (HF models only)

    python run.py --hf-path huggyllama/llama-7b \
    --tokenizer-kwargs padding_side="left" truncation="left" use_fast="False" \
     --max-out-len 100 \
     --max-seq-len 2048 \
    --batch-size 8 \
    --model-kwargs device_map="auto" \
    --no-batch-padding \
    --num-gpus=2 \
    --datasets ceval_gen mmlu_gen

The documentation will be updated in another PR.

Modifications

1. Implement the aforementioned feature in run.py
2. Move helper functions in run.py to utils/run.py, letting run.py focus on the logic and argument parsing only
3. Add list_configs.py, which allows fuzzy config search in configs/models and configs/datasets
4. Enhance HuggingFace wrapper such that it automatically decide the best model loader between AutoModelCausalLM and AutoModel
5. Delete GLM-related datasets which distract the configuration matching system