From 45fac1fac23b97a637176667dd30f43b483e6238 Mon Sep 17 00:00:00 2001
From: junewgl <45283002+junewgl@users.noreply.github.com>
Date: Fri, 7 Jun 2024 11:38:44 +0800
Subject: [PATCH] docs: add Qwen2 model (#64)

---
 README.md    | 3 +++
 README.zh.md | 3 +++
 2 files changed, 6 insertions(+)

diff --git a/README.md b/README.md
index 5214b71..1651221 100644
--- a/README.md
+++ b/README.md
@@ -360,6 +360,9 @@ for Text-to-SQL
 
   - Qwen-1.5-110B [[paper](https://qwenlm.github.io/blog/qwen1.5-110b/)] [[code](https://github.com/QwenLM/Qwen1.5)] [[model](https://huggingface.co/Qwen/Qwen1.5-110B)]
     - 2024/04, Alibaba Cloud proposed the first 100B+ model of the Qwen1.5 series, Qwen1.5-110B, which achieves comparable performance with Meta-Llama3-70B in the base model evaluation, and outstanding performance in the chat evaluation, including MT-Bench and AlpacaEval 2.0. Qwen1.5 is the beta version of Qwen2, which has 9 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B, 72B, and 110B dense models, and an MoE model of 14B with 2.7B activated.
+  
+  - Qwen2 [[paper](https://qwenlm.github.io/blog/qwen2/)] [[code](https://github.com/QwenLM/Qwen2)] [[model](https://huggingface.co/collections/Qwen/qwen2-6659360b33528ced941e557f)]
+    - 2024/06, Alibaba Cloud proposed the evolution from Qwen1.5 to Qwen2, which has 5 model sizes, including Qwen2-0.5B, Qwen2-1.5B, Qwen2-7B, Qwen2-57B-A14B, and Qwen2-72B. Qwen2-72B exhibits superior performance compared to leading models such as Llama-3-70B. Notably, it surpasses the performance of its predecessor, Qwen1.5-110B, despite having fewer parameters.
 
 
  ## 💡 Fine-tuning
diff --git a/README.zh.md b/README.zh.md
index 54bb3a9..e3a3022 100644
--- a/README.zh.md
+++ b/README.zh.md
@@ -375,6 +375,9 @@ for Text-to-SQL
 
   - Qwen-1.5-110B [[paper](https://qwenlm.github.io/blog/qwen1.5-110b/)] [[code](https://github.com/QwenLM/Qwen1.5)] [[model](https://huggingface.co/Qwen/Qwen1.5-110B)]
     - 2024年4月, 阿里云提出Qwen1.5系列首个100B+模型Qwen1.5-110B，该模型在基础模型评测中达到与Meta-Llama3-70B相当的性能，在包括MT-Bench和AlpacaEval 2.0在内的聊天评测中表现出色。Qwen1.5是Qwen2的测试版，有9种模型尺寸，包括0.5B、1.8B、4B、7B、14B、32B、72B和110B密集模型，以及14B激活2.7B的MoE模型。
+  
+  - Qwen2 [[paper](https://qwenlm.github.io/blog/qwen2/)] [[code](https://github.com/QwenLM/Qwen2)] [[model](https://huggingface.co/collections/Qwen/qwen2-6659360b33528ced941e557f)]
+    - 2024年6月，阿里云提出从Qwen1.5演进到Qwen2，Qwen2有5个模型尺寸，包括Qwen2-0.5B、Qwen2-1.5B、Qwen2-7B、Qwen2-57B-A14B、Qwen2-72B。Qwen2-72B相比Llama-3-70B等领先模型表现出色，尤其在参数更少的情况下，超越了上一代Qwen1.5-110B的性能。
 
  ## 💡 微调
 - P-Tuning [[paper](https://arxiv.org/pdf/2103.10385.pdf)] [[code](https://github.com/THUDM/P-tuning)]