Update README.md

README.md

@@ -9,7 +9,7 @@ tags:
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 [WIP]
 
-This is the LLaMAfied version of Qwen/Qwen-7B-Chat, recalibrated to fit the original LLaMA/LLaMA-2-like model structure.
+This is the LLaMAfied version of [Qwen/Qwen-7B-Chat](https://huggingface.co/Qwen/Qwen-7B-Chat), recalibrated to fit the original LLaMA/LLaMA-2-like model structure.
 
 You can use LlamaCausalLM for model inference, which is the same as LLaMA/LLaMA-2 models (the tokenizer remains the same, so you still need to allow external codes when loading, eg: `AutoTokenizer.from_pretrained(llama_model_path, use_fast=False, trust_remote_code=True)`).
 
@@ -17,7 +17,7 @@ SPOILOR: Further finetuning is in progress, the current version is a work-in-pro
 
 [在制品]
 
-这是 Qwen/Qwen-7B-Chat 的 LLaMA 化版本，经过重新校准以适应原始的类似 LLaMA/LLaMA-2 的模型结构。
+这是 [通义千问 Qwen/Qwen-7B-Chat](https://huggingface.co/Qwen/Qwen-7B-Chat) 的 LLaMA 化版本，经过重新校准以适应原始的类似 LLaMA/LLaMA-2 的模型结构。
 
 您可以使用 LlamaCausalLM 进行模型推理，和 LLaMA/LLaMA-2 保持一致（分词器保持不变，因此加载时仍然需要允许外部代码，例如：`AutoTokenizer.from_pretrained(llama_model_path, use_fast=False, trust_remote_code=True)`）。