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@@ -70,9 +70,9 @@ AstroSage-Llama-3.1-8B shows remarkable performance improvements:
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  | Model | Score (%) |
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  |-------|-----------|
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- | **AstroSage-Llama-3.1-8B** | **80.9** |
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  | GPT-4o | 80.4 |
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- | LLaMA-3-8B | 72.9 |
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  | Gemma-2-9B | 71.5 |
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  | Qwen-2.5-7B | 70.4 |
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  | Yi-1.5-9B | 68.4 |
@@ -84,7 +84,7 @@ The model demonstrates:
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  - Outperformance of all 8B parameter models
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  - Comparable performance to GPT-4o (80.4%)
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  - ~1000x more cost-effective than proprietary models
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- - 8 percentage-point improvement over base Llama-3.1-8b model
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  ## Training Data
 
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  | Model | Score (%) |
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  |-------|-----------|
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+ | **<span style="color:green">AstroSage-Llama-3.1-8B</span>** | **80.9** |
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  | GPT-4o | 80.4 |
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+ | LLaMA-3.1-8B | 73.7 |
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  | Gemma-2-9B | 71.5 |
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  | Qwen-2.5-7B | 70.4 |
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  | Yi-1.5-9B | 68.4 |
 
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  - Outperformance of all 8B parameter models
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  - Comparable performance to GPT-4o (80.4%)
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  - ~1000x more cost-effective than proprietary models
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+ - 7 percentage-point improvement over base Llama-3.1-8b model
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  ## Training Data