From b76e6ebd44c5a2a392ded4336d418b8100fd971a Mon Sep 17 00:00:00 2001
From: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Date: Wed, 12 Apr 2023 13:11:12 +0200
Subject: [PATCH] remove wrong doc in readme (#22723)

---
 docs/source/en/model_doc/llama.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/source/en/model_doc/llama.mdx b/docs/source/en/model_doc/llama.mdx
index a25a7ed96c..edcb048209 100644
--- a/docs/source/en/model_doc/llama.mdx
+++ b/docs/source/en/model_doc/llama.mdx
@@ -42,7 +42,7 @@ model = LlamaForCausalLM.from_pretrained("/output/path")
 Note that executing the script requires enough CPU RAM to host the whole model in float16 precision (even if the biggest versions
 come in several checkpoints they each contain a part of each weight of the model, so we need to load them all in RAM). For the 65B model, it's thus 130GB of RAM needed.
 
-- The LLaMA tokenizer is based on [sentencepiece](https://github.com/google/sentencepiece). One quirk of sentencepiece is that when decoding a sequence, if the first token is the start of the word (e.g. "Banana"), the tokenizer does not prepend the prefix space to the string. To have the tokenizer output the prefix space, set `decode_with_prefix_space=True` in the `LlamaTokenizer` object or in the tokenizer configuration.
+- The LLaMA tokenizer is a BPE model based on [sentencepiece](https://github.com/google/sentencepiece). One quirk of sentencepiece is that when decoding a sequence, if the first token is the start of the word (e.g. "Banana"), the tokenizer does not prepend the prefix space to the string.
 
 This model was contributed by [zphang](https://huggingface.co/zphang) with contributions from [BlackSamorez](https://huggingface.co/BlackSamorez). The code of the implementation in Hugging Face is based on GPT-NeoX [here](https://github.com/EleutherAI/gpt-neox). The original code of the authors can be found [here](https://github.com/facebookresearch/llama).