From 4ecc3719fd86040ca3936c9a73a80a375ec8b02e 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: Sat, 20 Jul 2024 15:07:57 +0800
Subject: [PATCH 1/4] Update qwen2.md

outdated description
---
 docs/source/en/model_doc/qwen2.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/source/en/model_doc/qwen2.md b/docs/source/en/model_doc/qwen2.md
index ac0e25e02c35f9..94d132dbe08cbf 100644
--- a/docs/source/en/model_doc/qwen2.md
+++ b/docs/source/en/model_doc/qwen2.md
@@ -35,8 +35,8 @@ In the following, we demonstrate how to use `Qwen2-7B-Chat-beta` for the inferen
 >>> 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-Chat", device_map="auto")
+>>> tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2-7B-Chat")
 
 >>> prompt = "Give me a short introduction to large language model."
 

From c697ae7c5a3a69772596a20d37c0110a8e6b1010 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: Mon, 22 Jul 2024 20:54:23 +0800
Subject: [PATCH 2/4] Update qwen2.md

amended
---
 docs/source/en/model_doc/qwen2.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/source/en/model_doc/qwen2.md b/docs/source/en/model_doc/qwen2.md
index 94d132dbe08cbf..4c5d5d629421fe 100644
--- a/docs/source/en/model_doc/qwen2.md
+++ b/docs/source/en/model_doc/qwen2.md
@@ -35,8 +35,8 @@ In the following, we demonstrate how to use `Qwen2-7B-Chat-beta` for the inferen
 >>> from transformers import AutoModelForCausalLM, AutoTokenizer
 >>> device = "cuda" # the device to load the model onto
 
->>> model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-7B-Chat", device_map="auto")
->>> tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2-7B-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."
 

From 4fe79a1b664326869a28125dae80844909838994 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: Tue, 23 Jul 2024 10:59:44 +0800
Subject: [PATCH 3/4] Update qwen2.md

Update
---
 docs/source/en/model_doc/qwen2.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/source/en/model_doc/qwen2.md b/docs/source/en/model_doc/qwen2.md
index 4c5d5d629421fe..a695f0409907de 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
 

From 2f7886d3b49248e06a8fab4eb3d97ee0643dad67 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: Tue, 23 Jul 2024 11:06:05 +0800
Subject: [PATCH 4/4] Update qwen2.md

fix wrong version code, now good to go
---
 docs/source/en/model_doc/qwen2.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/source/en/model_doc/qwen2.md b/docs/source/en/model_doc/qwen2.md
index a695f0409907de..16815f2fc1f3cd 100644
--- a/docs/source/en/model_doc/qwen2.md
+++ b/docs/source/en/model_doc/qwen2.md
@@ -27,9 +27,9 @@ 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