SeaLLMs
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SeaLLMs-v3-7B

Text Generation

text-generation-inference

Inference Endpoints

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Yiran0924 commited on Jul 28

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@@ -78,7 +78,7 @@ We evaluate SeaLLMs-v3-7B using human exam questions and mathematics.
 | **SeaLLMs-v3-7B-Chat** | **0.713** |     0.647 | **0.625** | **0.544** |     0.578 | **0.622** | **0.582** |
-#### Multilingual Math
 We evaluate the multilingual math capability by utilizing the [MGSM](https://arxiv.org/abs/2210.03057) dataset with a **5-shot prompting** approach. MGSM originally contains English, Chinese and Thai testing sets only, we use Google Translate to translate the same English questions into other SEA languages. Note that we adopt the tradition of each country to represent the number, e.g., in Indonesian and Vietnamese, dots are used as thousands separators and commas as decimal separators, the opposite of the English system.

 | **SeaLLMs-v3-7B-Chat** | **0.713** |     0.647 | **0.625** | **0.544** |     0.578 | **0.622** | **0.582** |
+#### Multilingual Math - MGSM
 We evaluate the multilingual math capability by utilizing the [MGSM](https://arxiv.org/abs/2210.03057) dataset with a **5-shot prompting** approach. MGSM originally contains English, Chinese and Thai testing sets only, we use Google Translate to translate the same English questions into other SEA languages. Note that we adopt the tradition of each country to represent the number, e.g., in Indonesian and Vietnamese, dots are used as thousands separators and commas as decimal separators, the opposite of the English system.