Update README.md

README.md

@@ -15,10 +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.
 
-| Model | MMLU | Arc Challenge | Arc Easy | LAMBADA | WinoGrande | PIQA |
-|---|---|---|---|---|---|---|
-| GPTQ Mistral-Small-Instruct-2409 | 49.45 | 56.14 | 80.64 | 75.1 | 77.74 | 77.48 |
-| xMADai Mistral-Small-Instruct-2409 | **68.59** | **57.51** | **82.83** | **77.74** | **79.56** | **81.34** |
+|  | 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** |
 
 # How to Run Model