format benchmark table

README.md

@@ -13,9 +13,10 @@ license_link: LICENSE
 
 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.
+bilingual(English/Chinese) base models with the parameter sizes of 6B(`Yi-6B`) 
+and 34B(`Yi-34B`). Both of them are trained with 4K sequence length and can be 
+extended to 32K during inference time. The `Yi-6B-200K` and `Yi-34B-200K` are 
+base model with 200K context length.
 
 ## News
 
@@ -37,8 +38,8 @@ during inference time.
 | Aquila-34B    |   67.8   |   71.4   |   63.1   |    -     |    -     |           -            |           -           |      -      |
 | Falcon-180B   |   70.4   |   58.0   |   57.8   |   59.0   |   54.0   |          77.3          |         68.8          |    34.0     |
 | Yi-6B         |   63.2   |   75.5   |   72.0   |   72.2   |   42.8   |          72.3          |         68.7          |    19.8     |
-| **Yi-34B**    | **76.3** | **83.7** | **81.4** |   82.8   | **54.3** |        **80.1**        |         76.4          |    37.1     |
 | Yi-6B-200K    |   64.0   |   75.3   |   73.5   |   73.9   |   42.0   |          72.0          |         69.1          |    19.0     |
+| **Yi-34B**    | **76.3** | **83.7** | **81.4** |   82.8   | **54.3** |        **80.1**        |         76.4          |    37.1     |
 | Yi-34B-200K   |   76.1   |   83.6   | **81.9** | **83.4** |   52.7   |          79.7          |       **76.6**        |    36.3     |
 
 While benchmarking open-source models, we have observed a disparity between the