Update README.md

README.md

@@ -10,32 +10,33 @@ tags:
 pipeline_tag: visual-question-answering
 license: apache-2.0
 base_model:
+- google/siglip2-so400m-patch14-384
 - keeeeenw/MicroLlama
 model-index:
-  - name: MicroLLaVA (MicroLLaMA 300M + SigLIP2-so400m-patch4-384)
-    results:
-      - task:
-          type: visual-question-answering
-          name: VQAv2
-        dataset:
-          name: VQAv2
-          type: vqav2
-        metrics:
-          - name: Overall Accuracy
-            type: accuracy
-            value: 56.91
-          - name: Yes/No Accuracy
-            type: accuracy
-            value: 72.32
-          - name: Number Accuracy
-            type: accuracy
-            value: 43.89
-          - name: Other Accuracy
-            type: accuracy
-            value: 46.65
-        source:
-          name: Internal Evaluation on VQAv2 test-dev
-          url: https://visualqa.org/download.html
+- name: MicroLLaVA (MicroLLaMA 300M + SigLIP2-so400m-patch4-384)
+  results:
+  - task:
+      type: visual-question-answering
+      name: VQAv2
+    dataset:
+      name: VQAv2
+      type: vqav2
+    metrics:
+    - name: Overall Accuracy
+      type: accuracy
+      value: 56.91
+    - name: Yes/No Accuracy
+      type: accuracy
+      value: 72.32
+    - name: Number Accuracy
+      type: accuracy
+      value: 43.89
+    - name: Other Accuracy
+      type: accuracy
+      value: 46.65
+    source:
+      name: Internal Evaluation on VQAv2 test-dev
+      url: https://visualqa.org/download.html
 ---
 
 # MicroLLaVA
@@ -203,5 +204,4 @@ This work builds upon the efforts of many in the open-source AI community:
 - **[`keeeeenw/MicroLlama`](https://huggingface.co/keeeeenw/MicroLlama)** I am also the creator of MicroLlama. Please help support my work!
 - **SigLIP2** authors for the efficient vision encoder architecture  
 - Contributors to **LAION-CC-SBU-558K** and other datasets used in pretraining and finetuning  
-- The Hugging Face ecosystem for hosting, tools, and community support
-
+- The Hugging Face ecosystem for hosting, tools, and community support