Merge branch 'main' into fancy/debug-ci-output

README.md

@@ -25,15 +25,36 @@
 ## Introduction
 
 The **Yi** series models are large language models trained from scratch by
-developers at [01.AI](https://01.ai/). The first public release contains two
-bilingual (English/Chinese) base models with the parameter sizes of 6B and 34B.
-Both of them are trained with 4K sequence length and can be extended to 32K
-during inference time.
+developers at [01.AI](https://01.ai/).
 
 ## News
 
-- 🎯 **2023/11/05**: The base model of `Yi-6B-200K` and `Yi-34B-200K` with 200K context length.
-- 🎯 **2023/11/02**: The base model of `Yi-6B` and `Yi-34B`.
+<details open>
+<summary>🔥 <b>2023/11/08</b>: Invited test of Yi-34B chat model.</summary>
+
+Application form:
+
+- [English](https://cn.mikecrm.com/l91ODJf)
+- [Chinese](https://cn.mikecrm.com/gnEZjiQ)
+
+</details>
+
+<details>
+<summary>🎯 <b>2023/11/05</b>: The base model of <code>Yi-6B-200K</code> and <code>Yi-34B-200K</code>.</summary>
+
+This release contains two base models with the same parameter sizes of previous
+release, except that the context window is extended to 200K.
+
+</details>
+
+<details>
+<summary>🎯 <b>2023/11/02</b>: The base model of <code>Yi-6B</code> and <code>Yi-34B</code>.</summary>
+
+The first public release contains two bilingual (English/Chinese) base models
+with the parameter sizes of 6B and 34B.  Both of them are trained with 4K
+sequence length and can be extended to 32K during inference time.
+
+</details>
 
 ## Model Performance
 
@@ -87,8 +108,7 @@ encounter any problem when using the **Yi** series models.
 The best approach to try the **Yi** series models is through Docker with GPUs. We
 provide the following docker images to help you get started.
 
-<!-- - `ghcr.io/01-ai/yi:latest` -->
-<!-- - `registry.lingyiwanwu.com/ci/01-ai/yi:latest` -->
+- `registry.lingyiwanwu.com/ci/01-ai/yi:latest`
 
 Note that the `latest` tag always points to the latest code in the `main`
 branch. To test a stable version, please replace it with a specific