add base model qlora fintuning config file and optimize deduplicate.py

[chg0901]

optimize deduplicate.py

1. Add time print information
2. save duplicate dataset as well
3. remove print(content)

Terminal print information in seconds

(tf2_9) D:\github_repos\EmoLLM\datasets>python deduplicate.py
file name: ./FatherLikeBF/qwen9747_zhipuai8857_final_merge_all.json
print_len_seen_hashes=500 Time:  15.8351 15.8351
print_len_seen_hashes=1000 Time:  40.83554 56.67064
print_len_duplicate=500 Time:  89.68914 89.68914
print_len_seen_hashes=1500 Time:  87.62722 144.29787
print_len_duplicate=1000 Time:  105.06385 194.75299
print_len_duplicate=1500 Time:  120.15144 314.90443
print_len_seen_hashes=2000 Time:  199.31009 343.60795
print_len_duplicate=2000 Time:  146.22297 461.1274

add base model qlora fintuning config file: internlm2_7b_base_qlora_e10

add full finetune code from internlm2

other 2 configs for base model

update cli_internlm2.py with three methods to download or load model

1. download model in openxlab (6-8M/s)
2. download model in modelscope (20-30M/s)
3. offline model

create upload_modelscope.py

add base model and update personal contributions

Create README_internlm2_7b_base_qlora.md

InternLM2 7B Base QLoRA fine-tuning guide