Add Artificial Analysis evaluations for ministral-3b

README.md

@@ -16,11 +16,61 @@ license: apache-2.0
 inference: false
 base_model:
 - mistralai/Ministral-3-3B-Base-2512
-extra_gated_description: >-
-  If you want to learn more about how we process your personal data, please read
-  our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
+extra_gated_description: If you want to learn more about how we process your personal
+  data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
 tags:
 - mistral-common
+model-index:
+- name: Ministral-3-3B-Instruct-2512
+  results:
+  - task:
+      type: evaluation
+    dataset:
+      name: Artificial Analysis Benchmarks
+      type: artificial_analysis
+    metrics:
+    - name: Artificial Analysis Intelligence Index
+      type: artificial_analysis_intelligence_index
+      value: 21.8
+    - name: Artificial Analysis Coding Index
+      type: artificial_analysis_coding_index
+      value: 13
+    - name: Artificial Analysis Math Index
+      type: artificial_analysis_math_index
+      value: 22
+    - name: Mmlu Pro
+      type: mmlu_pro
+      value: 0.524
+    - name: Gpqa
+      type: gpqa
+      value: 0.358
+    - name: Hle
+      type: hle
+      value: 0.053
+    - name: Livecodebench
+      type: livecodebench
+      value: 0.247
+    - name: Scicode
+      type: scicode
+      value: 0.144
+    - name: Aime 25
+      type: aime_25
+      value: 0.22
+    - name: Ifbench
+      type: ifbench
+      value: 0.268
+    - name: Lcr
+      type: lcr
+      value: 0.117
+    - name: Terminalbench Hard
+      type: terminalbench_hard
+      value: 0
+    - name: Tau2
+      type: tau2
+      value: 0.249
+    source:
+      name: Artificial Analysis API
+      url: https://artificialanalysis.ai
 ---
 
 # Ministral 3 3B Instruct 2512