Update README.md

README.md

@@ -11,7 +11,9 @@ tags:
 
 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)`).
+You can use LlamaForCausalLM 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)`).
+
+The model has been edited to be white-labelled, meaning the model will no longer call itself a Qwen.
 
 SPOILOR: Further finetuning is in progress, the current version is a work-in-progress, some knowledge may be biased and illusory due to structural changes. Will be updated very, very sooooooooooon.
 
@@ -27,6 +29,8 @@ Issue: Compared to the original Qwen-Chat scoring 53.9, the MMLU score dropped s
 
 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)`）。
 
+模型已经被编辑实现白标化，不再自称通义千问。
+
 剧透： 进一步的微调正在进行中，当前版本是一个正在进行的工作，一些知识可能由于结构变化而产生偏见和幻觉。 会更新，很快，非常非常非常快。
 
 PROMPT 格式: [chatml](https://github.com/openai/openai-python/blob/main/chatml.md)