Update README.md

README.md

@@ -44,15 +44,17 @@ tags:
 
 <img src="https://huggingface.co/appvoid/void.0-preview/resolve/main/logo.png"/>
 
-Introducing **void**: our first ever language model, trained from scratch with a novel hybrid tokenizer on 300M high-quality tokens (total of 2 epochs on a B300) using 4096 as context window. Total cost was $23 dollars. It has around 140m parameters. Future releases are expected to be published in the following weeks/months.
-
-| Benchmark     | Accuracy | Normalized |
-| ------------- | -------: | ---------: |
-| ARC Challenge |   25.17% |     27.22% |
-| ARC Easy      |   45.03% |     43.01% |
-| HellaSwag     |   31.57% |     35.77% |
-| PIQA          |   61.15% |     60.12% |
-| WinoGrande    |   53.12% |          — |
+Introducing **void**: our first ever language model, trained from scratch with a novel hybrid tokenizer on 300M high-quality tokens (total of 2 epochs on a B300) using 4096 as context window. Total cost was $23 dollars. 132m parameters. Future releases are expected to be published in the following weeks/months.
+
+| Benchmark     |   Accuracy | Normalized |
+| ------------- | ---------: | ---------: |
+| ARC Challenge |     25.17% |     27.22% |
+| ARC Easy      |     45.03% |     43.01% |
+| HellaSwag     |     31.57% |     35.77% |
+| PIQA          |     61.15% |     60.12% |
+| WinoGrande    |     53.12% |          — |
+| ArithMark     |     35.20% |     35.20% |
+
 
 If you want to sponsor future model releases, you can get information on how to make contributions here: [CEAMFA](https://huggingface.co/CEAMFA)