From 5f4ee98a7ade33e1c54fdd6181d04ee7b426b392 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Dr=2E=20Artificial=E6=9B=BE=E5=B0=8F=E5=81=A5?=
 <875100501@qq.com>
Date: Wed, 24 Jul 2024 18:54:41 +0800
Subject: [PATCH] Update qwen2.md (#32108)

* Update qwen2.md

outdated description

* Update qwen2.md

amended

* Update qwen2.md

Update

* Update qwen2.md

fix wrong version code, now good to go
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 docs/source/en/model_doc/qwen2.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/docs/source/en/model_doc/qwen2.md b/docs/source/en/model_doc/qwen2.md
index ac0e25e02c..16815f2fc1 100644
--- a/docs/source/en/model_doc/qwen2.md
+++ b/docs/source/en/model_doc/qwen2.md
@@ -18,7 +18,7 @@ rendered properly in your Markdown viewer.
 
 ## Overview
 
-Qwen2 is the new model series of large language models from the Qwen team. Previously, we released the Qwen series, including Qwen-72B, Qwen-1.8B, Qwen-VL, Qwen-Audio, etc.
+Qwen2 is the new model series of large language models from the Qwen team. Previously, we released the Qwen series, including Qwen2-0.5B, Qwen2-1.5B, Qwen2-7B, Qwen2-57B-A14B, Qwen2-72B, Qwen2-Audio, etc.
 
 ### Model Details
 
@@ -27,16 +27,16 @@ Qwen2 is a language model series including decoder language models of different
 
 ## Usage tips
 
-`Qwen2-7B-beta` and `Qwen2-7B-Chat-beta` can be found on the [Huggingface Hub](https://huggingface.co/Qwen)
+`Qwen2-7B` and `Qwen2-7B-Instruct` can be found on the [Huggingface Hub](https://huggingface.co/Qwen)
 
-In the following, we demonstrate how to use `Qwen2-7B-Chat-beta` for the inference. Note that we have used the ChatML format for dialog, in this demo we show how to leverage `apply_chat_template` for this purpose.
+In the following, we demonstrate how to use `Qwen2-7B-Instruct` for the inference. Note that we have used the ChatML format for dialog, in this demo we show how to leverage `apply_chat_template` for this purpose.
 
 ```python
 >>> from transformers import AutoModelForCausalLM, AutoTokenizer
 >>> device = "cuda" # the device to load the model onto
 
->>> model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-7B-Chat", device_map="auto")
->>> tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen1.5-7B-Chat")
+>>> model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-7B-Instruct", device_map="auto")
+>>> tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2-7B-Instruct")
 
 >>> prompt = "Give me a short introduction to large language model."