Update README.md

README.md

@@ -198,7 +198,7 @@ We evaluate our model on all benchmarks of the new leaderboard's version using t
 | `model name`              |`IFEval`| `BBH` |`MATH LvL5`| `GPQA`| `MUSR`|`MMLU-PRO`|`Average`| 
 |:--------------------------|:------:|:-----:|:---------:|:-----:|:-----:|:--------:|:-------:|
 | ***Pure SSM models***     |        |       |           |       |       |          |         |
-| `FalconMamba-7B`          |**33.36**| 19.88 |    3.63   |**8.05**|10.86| 14.47    |**15.04**|
+| `FalconMamba-7B`          |  33.36 | 19.88 |    3.63   |8.05   |10.86  | 14.47    |**15.04**|
 | `TRI-ML/mamba-7b-rw`<sup>*</sup>| 22.46  | 6.71  | 0.45      | 1.12  | 5.51  | 1.69     | 6.25    |
 |***Hybrid SSM-attention models***   |       |           |       |       |          |         |
 |`recurrentgemma-9b`        | 30.76  | 14.80 | 4.83      | 4.70  | 6.60  | 17.88    |  13.20  |
@@ -218,7 +218,7 @@ Also, we evaluate our model on the benchmarks of the first leaderboard using `li
 | `model name`                 |`ARC`|`HellaSwag`   |`MMLU` |`Winogrande`|`TruthfulQA`|`GSM8K`|`Average`         | 
 |:-----------------------------|:------:|:---------:|:-----:|:----------:|:----------:|:-----:|:----------------:|
 | ***Pure SSM models***        |        |           |       |            |            |       |                  |
-| `FalconMamba-7B`<sup>*</sup>          |**62.03**|   80.82   | 62.11 |   73.64    |**53.42**| 52.54 |  **64.09**       |
+| `FalconMamba-7B`<sup>*</sup>          | 62.03 |   80.82   | 62.11 |   73.64    |  53.42  | 52.54 |  **64.09**       |
 | `TRI-ML/mamba-7b-rw`<sup>*</sup>         | 51.25  | 80.85     | 33.41 | 71.11      | 32.08      | 4.70  | 45.52            |
 |***Hybrid SSM-attention models***|     |           |       |            |            |       |                  |
 | `recurrentgemma-9b`<sup>**</sup>          |52.00   |   80.40   | 60.50 |   73.60    |   38.60    | 42.60 |  57.95           |