Update README.md

README.md

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 *Image drawn by GPT-4 DALL·E 3* TL;DR: Perhaps better than all existing models < 70B, in most quantitative evaluations...
 
 **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 to be reuploaded.
-Thanks TheBloke for GGUF versions: [https://huggingface.co/TheBloke/CausalLM-14B-GGUF](https://huggingface.co/TheBloke/CausalLM-14B-GGUF)
+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 now reuploaded.
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+Thanks TheBloke for GGUF quants: [https://huggingface.co/TheBloke/CausalLM-14B-GGUF](https://huggingface.co/TheBloke/CausalLM-14B-GGUF)
 
 
 # Read Me:
@@ -98,6 +99,8 @@ Win rate **88.26%**	on [AlpacaEval Leaderboard](https://tatsu-lab.github.io/alpa
 **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。
 
+感谢 TheBloke 制作 GGUF 版本量化模型: [https://huggingface.co/TheBloke/CausalLM-14B-GGUF](https://huggingface.co/TheBloke/CausalLM-14B-GGUF)
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 ## 请读我：
 
 另请参阅[7B版本](https://huggingface.co/CausalLM/7B)