Update README.md

README.md

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 # CausalLM 7B - Fully Compatible with Meta LLaMA 2 
 Use the transformers library that does not require remote/external code to load the model, AutoModelForCausalLM and AutoTokenizer (or manually specify LlamaForCausalLM to load LM, GPT2Tokenizer to load Tokenizer), and model quantization is fully compatible with GGUF (llama.cpp), GPTQ, and AWQ.
 
+# Recent Updates: [DPO-α Version](https://huggingface.co/CausalLM/7B-DPO-alpha) outperforms Zephyr-β in MT-Bench
+
 **llama.cpp GGUF models**
 GPT2Tokenizer fixed by [Kerfuffle](https://github.com/KerfuffleV2) on [https://github.com/ggerganov/llama.cpp/pull/3743](https://github.com/ggerganov/llama.cpp/pull/3743), new models are reuploaded.
 
@@ -105,6 +107,8 @@ Hard acc:48.03
 # 因果语言模型 7B - 与 Meta LLaMA 2 完全兼容
 使用无需远程/外部代码的transformers库加载模型，AutoModelForCausalLM和AutoTokenizer（或者手动指定LlamaForCausalLM加载LM， GPT2Tokenizer加载Tokenizer），并且模型量化与GGUF（llama.cpp）、GPTQ、AWQ完全兼容。
 
+# 最近更新: [DPO-α Version](https://huggingface.co/CausalLM/7B-DPO-alpha) 在 MT-Bench 超过 Zephyr-β
+
 **llama.cpp GGUF models**
 GPT2Tokenizer 支持由 [Kerfuffle](https://github.com/KerfuffleV2) 修复于 [https://github.com/ggerganov/llama.cpp/pull/3743](https://github.com/ggerganov/llama.cpp/pull/3743)，新模型稍后上传。