Update README.md

README.md

@@ -3,6 +3,8 @@ license: gpl-3.0
 language:
 - en
 pipeline_tag: text-generation
+base_model:
+- NyxKrage/Microsoft_Phi-4
 ---
 
 # Phi-4-instruct-abliterated
@@ -138,4 +140,4 @@ At the high-level overview of the model quality on representative benchmarks. Fo
 | Factual Knowledge            | SimpleQA       | 3.0                | 7.6             | 5.4                         | 9.9             | 20.9                         | 10.2                        | **39.4**           |
 | Reasoning                    | DROP           | 75.5               | 68.3            | 85.5                        | 79.3            | **90.2**                     | 76.7                        | 80.9               |
 
-\* These scores are lower than those reported by Meta, perhaps because simple-evals has a strict formatting requirement that Llama models have particular trouble following. We use the simple-evals framework because it is reproducible, but Meta reports 77 for MATH and 88 for HumanEval on Llama-3.3-70B.
+\* These scores are lower than those reported by Meta, perhaps because simple-evals has a strict formatting requirement that Llama models have particular trouble following. We use the simple-evals framework because it is reproducible, but Meta reports 77 for MATH and 88 for HumanEval on Llama-3.3-70B.