support Qwen-7B, fix InternLM-7B inference

Former-commit-id: 25d2ca29ecb70cbfd5206333c667042a0c4d2e5a

README.md

@@ -12,6 +12,8 @@
 
 ## Changelog
 
+[23/08/03] Now we support training the **Qwen-7B** model in this repo. Try `--model_name_or_path Qwen/Qwen-7B-Chat` and `--lora_target c_attn` arguments to train the Qwen-7B model. Remember to use `--template chatml` argument when you are using the Qwen-7B-Chat model.
+
 [23/07/31] Now we support dataset streaming. Try `--streaming` and `--max_steps 100` arguments to stream your dataset.
 
 [23/07/29] We release two instruction-tuned 13B models at Hugging Face. See these Hugging Face Repos ([LLaMA-2](https://huggingface.co/hiyouga/Llama-2-Chinese-13b-chat) / [Baichuan](https://huggingface.co/hiyouga/baichuan-13b-sft)) for details.
@@ -46,6 +48,7 @@
 - [Falcon](https://huggingface.co/tiiuae/falcon-7b) (7B/40B)
 - [Baichuan](https://huggingface.co/baichuan-inc/baichuan-7B) (7B/13B)
 - [InternLM](https://github.com/InternLM/InternLM) (7B)
+- [Qwen](https://github.com/QwenLM/Qwen-7B) (7B)
 
 ## Supported Training Approaches
 
@@ -111,6 +114,7 @@ huggingface-cli login
 
 - Python 3.8+ and PyTorch 1.13.1+
 - 🤗Transformers, Datasets, Accelerate, PEFT and TRL
+- sentencepiece and tiktoken
 - jieba, rouge-chinese and nltk (used at evaluation)
 - gradio and matplotlib (used in web_demo.py)
 - uvicorn, fastapi and sse-starlette (used in api_demo.py)
@@ -378,6 +382,7 @@ Please follow the model licenses to use the corresponding model weights:
 - [Falcon](LICENSE)
 - [Baichuan](https://huggingface.co/baichuan-inc/baichuan-7B/resolve/main/baichuan-7B%20%E6%A8%A1%E5%9E%8B%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE.pdf)
 - [InternLM](https://github.com/InternLM/InternLM#open-source-license)
+- [Qwen](https://huggingface.co/Qwen/Qwen-7B-Chat/blob/main/LICENSE)
 
 ## Citation