Update README.md

README.md

@@ -15,14 +15,14 @@ This repository contains [`mistralai/Mistral-Small-Instruct-2409`](https://huggi
 
 2. **Accuracy:** This xMADified model preserves the quality of the full-precision model. In the table below, we present the zero-shot accuracy on popular benchmarks of this xMADified model against the [GPTQ](https://github.com/AutoGPTQ/AutoGPTQ)-quantized model (both w4g128 for a fair comparison). GPTQ fails on the difficult **MMLU** task, while the xMADai model offers significantly higher accuracy.
 
-|  | xMADai Mistral-Small-Instruct-2409 (compared to GPTQ Mistral-Small-Instruct-2409) |
+| Benchmark | xMADai Mistral-Small-Instruct-2409 (compared to GPTQ Mistral-Small-Instruct-2409) |
 |---|---|
-| MMLU | 49.45 → **68.59** |
-| Arc Challenge | 56.14 → **57.51** |
-| Arc Easy | 80.64 → **82.83** |
-| LAMBADA | 75.1 → **77.74** |
-| WinoGrande | 77.74 → **79.56** |
-| PIQA | 77.48 → **81.34** |
+| **MMLU** | 49.45 → **68.59** |
+| **Arc Challenge** | 56.14 → **57.51** |
+| **Arc Easy** | 80.64 → **82.83** |
+| **LAMBADA** | 75.1 → **77.74** |
+| **WinoGrande** | 77.74 → **79.56** |
+| **PIQA** | 77.48 → **81.34** |
 
 # How to Run Model