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README.md

@@ -44,7 +44,7 @@ model-index:
         metrics:
           - name: Pass Rate
             type: accuracy
-            value: 28.0
+            value: 28.1
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 <div align="center">
@@ -91,11 +91,11 @@ The model shows strong agentic behavior: it recovers from errors (read-before-wr
 | **AIME 2025** (pass@5) | 90 | | | | 91.7 | 91.6 | | |
 | **GPQA Diamond** (pass@1) | **83.8** | 81.7 | 77.2 | 80.1 | 71.5 | | | 73 |
 | **GPQA Diamond** (pass@3) | **86.4** | | | | | | | |
-| **Terminal-Bench 2.0** | **28** | 20 | | | | | 33.4 | 27 |
+| **Terminal-Bench 2.0** | **28.1** | 20 | | | | | 33.4 | 27 |
 
 </div>
 
-> OmniCoder-9B achieves **83.8** on GPQA Diamond pass@1 (vs Qwen3.5-9B's 81.7), **86.4** at pass@3, and **28** on Terminal-Bench 2.0 (vs base model's 20, a 40% improvement).
+> OmniCoder-9B achieves **83.8** on GPQA Diamond pass@1 (vs Qwen3.5-9B's 81.7), **86.4** at pass@3, and **28.1** on Terminal-Bench 2.0 (vs base model's 20, a 40% improvement).
 
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