Update README.md

README.md

@@ -17,6 +17,8 @@ This is a merge of pre-trained language models created using [mergekit](https://
 # First benchmarks
 
 **Interpretation:** Significant gains on language understanding & pragmatic reasoning (ARC-C/E, Wino, BoolQ, HellaSwag, TriviaQA) with stability on other skills. Math/code are not the optimization target; GSM8K stays essentially stable relative to the BitNet 1.58-bit baseline.
+All scores are reported in comparison with the original Microsoft BitNet b1.58 BF16 model.
+Evaluations were performed using LM Eval Harness, all results are fully reproducible.  
 
 **ARC-Challenge:** 51.62 (First-ever ≥50 score for a model in the 2B category, i.e., >1.5B and <2.5B params)