Update README.md

README.md

@@ -14,6 +14,7 @@ language:
 - fr
 - bn
 ---
+
 ### Introduction
 
 We introduce 🐙 MathOctopus, a series of open-source large language models (LLMs) specifically tailored for multilingual math problem-solving. The MathOctopus models are trained on 🤗 MGSM8KInstruct Dataset, encompassing ten distinct languages.
@@ -49,9 +50,9 @@ Our dataset and models are all available at Huggingface.
 |----|---------------------------------------------------------------|---------------------------------------------------------------------------|
 | 7B-LLaMA 2  	| 🐙 [MathOctopus-Parallel-7B](https://huggingface.co/Mathoctopus/Parallel_7B)   	| 🐙 [MathOctopus-Cross-7B](https://huggingface.co/Mathoctopus/Cross_7B)  	|
 || 🐙[MathOctopus-Parallel-xRFT-7B](https://huggingface.co/Mathoctopus/Parallel_xRFT_7B)|🐙[MathOctopus-Cross-xRFT-7B](https://huggingface.co/Mathoctopus/Cross_xRFT_7B)|
-| 13B-LLaMA 2 	| 🐙 [MathOctopus-Parallel-13B] 	| 🐙 [MathOctopus-Cross-13B]	|
-|| 🐙[MathOctopus-Parallel-xRFT-13B](https://huggingface.co/Mathoctopus/Parallel_xRFT_13B/tree/main)|🐙[MathOctopus-Cross-xRFT-13B]|
-| 33B-LLaMA 1 	| 🐙 [MathOctopus-Parallel-33B]    | 🐙 [MathOctopus-Cross-33B] 	|
+| 13B-LLaMA 2 	| 🐙 [MathOctopus-Parallel-13B](https://huggingface.co/Mathoctopus/Parallel_13B) 	| 🐙 [MathOctopus-Cross-13B](https://huggingface.co/Mathoctopus/Cross_13B)	|
+|| 🐙[MathOctopus-Parallel-xRFT-13B](https://huggingface.co/Mathoctopus/Parallel_xRFT_13B)|🐙[MathOctopus-Cross-xRFT-13B]|
+| 33B-LLaMA 1 	| 🐙 [MathOctopus-Parallel-33B](https://huggingface.co/Mathoctopus/Parallel_33B)    | 🐙 [MathOctopus-Cross-33B] 	|
 | 70B-LLaMA 2 	| Coming soon!	| Coming Soon!      |
 
 *-Parallel refers to our model trained with the parallel-training strategy. 
@@ -59,7 +60,9 @@ Our dataset and models are all available at Huggingface.
 *-Cross refers to our model trained with cross-training strategy. 
 
 *-xRFT means we train the model with multilingual rejection sampling.
+
 ### **Overall Results on MGSM**
+
 | 7B Model                        | En      | Sw      | Zh      | Bn      | De      | Es      | Fr      | Ja      | Ru      | Th      | Overall |
 |:--------------------------------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|
 | MathOctopus<sup>C</sup>         | 52.0    | 23.6    | 31.6    | 18.8    | 38.0    | 39.2    | 36.4    | 27.2    | 33.6    | 21.6    | 32.2    |
@@ -68,14 +71,14 @@ Our dataset and models are all available at Huggingface.
 | MathOctopus<sup>P</sup>         | 52.4    | 39.2    | 38.4    | 28.8    | 44.8    | 42.4    | 43.6    | 36.0    | 39.6    | 34.4    | 40.0    |
 | **xRFT**-MathOctopus<sup>P</sup>| 54.8    | 38.4    | 45.2    | 33.2    | 43.6    | 45.2    | 38.0    | 35.6    | 48.4    | 36.4    | 41.9    |
 <p></p >
-     
+
 | 13B Model                       | En      | Sw      | Zh      | Bn      | De      | Es      | Fr      | Ja      | Ru      | Th      | Overall |
 |:--------------------------------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|
 | MathOctopus<sup>C</sup>         | 56.4    | 27.2    | 39.2    | 24.0    | 47.6    | 49.6    | 47.6    | 40.4    | 42.0    | 24.8    | 39.9    |
 | **xRFT**-MathOctopus<sup>C</sup>| 53.6    | 28.0    | 45.2    | 21.2    | 48.0    | 46.4    | 46.0    | 35.2    | 45.6    | 28.8    | 39.8    |
 | MathOctopus<sup>P</sup>         | 53.2    | 42.8    | 48.8    | 35.2    | 44.4    | 48.0    | 48.4    | 43.2    | 47.6    | 46.8    | 45.8    |
 | **xRFT**-MathOctopus<sup>P</sup>| 51.6    | 46.0    | 51.2    | 42.0    | 49.2    | 53.2    | 49.6    | 39.6    | 47.6    | 46.0    | 47.6    |
-<p></p >  
+<p></p >
 
 | 30-34B Model                    | En      | Sw      | Zh      | Bn      | De      | Es      | Fr      | Ja      | Ru      | Th      | Overall |
 |:--------------------------------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|
@@ -83,7 +86,10 @@ Our dataset and models are all available at Huggingface.
 | **xRFT**-MathOctopus<sup>C</sup>| 53.6    | 27.6    | 34.4    | 19.2    | 47.2    | 47.6    | 44.8    | 30.8    | 38.8    | 22.8    | 36.7    |
 | MathOctopus<sup>P</sup>         | 56.4    | 46.8    | 52.0    | 35.2    | 47.2    | 53.2    | 48.0    | 39.2    | 45.6    | 41.2    | 46.5    |
 | **xRFT**-MathOctopus<sup>P</sup>| 51.6    | 47.2    | 52.4    | 37.6    | 51.2    | 52.8    | 44.4    | 41.6    | 50.0    | 47.6    | 47.6    |
+
+
 ### **Overall Results on MSVAMP**
+
 | 7B Model                        | En      | Sw      | Zh      | Bn      | De      | Es      | Fr      | Ja      | Ru      | Th      | Overall |
 |:--------------------------------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|:--------|
 | MathOctopus<sup>C</sup>         | 49.2    | 36.6    | 43.6    | 30.2    | 48.6    | 46.8    | 46.4    | 42.5    | 46.7    | 34.0    | 42.5    |
@@ -107,7 +113,10 @@ Our dataset and models are all available at Huggingface.
 | **xRFT**-MathOctopus<sup>C</sup>| 48.1    | 42.8    | 43.6    | 23.3    | 48.7    | 50.0    | 48.9    | 43.4    | 44.6    | 35.5    | 42.9    |
 | MathOctopus<sup>P</sup>         | 56.4    | 46.8    | 52.0    | 35.2    | 47.2    | 53.2    | 48.0    | 39.2    | 45.6    | 41.2    | 46.5    |
 | **xRFT**-MathOctopus<sup>P</sup>| 48.0    | 42.3    | 46.1    | 36.2    | 47.5    | 48.5    | 48.3    | 45.8    | 47.2    | 41.2    | 45.1    |
+
+
 ### **MathOctopus in English**
+
 | Models                          | GSM8K   | SVAMP   |
 |:--------------------------------|:--------|:--------|
 | LLaMA 2-7B                      | 42.4    | 38.3    |
@@ -119,5 +128,6 @@ Our dataset and models are all available at Huggingface.
 | LLaMA 1-33B                     | 50.0    | 49.0    |
 | MathOctopus<sup>P</sup>-33B     | 56.0    | 52.5    |
 | MathOctopus<sup>C</sup>-33B     | 53.7    | 51.5    |
+
 ## Intended Uses
-These models are trained for research purposes. They are designed to solve multilingual math problems. They can be used in educational software, tutoring systems, or any application where a solution to a math problem is needed.
+These models are trained for research purposes. They are designed to solve multilingual math problems. They can be used in educational software, tutoring systems, or any application where a solution to a math problem is needed.