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Update README.md
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README.md
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@@ -8,7 +8,7 @@ AstroMLab is a diverse group of researchers dedicated to advancing the applicati
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## Objectives
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- Develop specialized LLMs for astronomy
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- Create open-source models for advanced research
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- Facilitate LLM-driven end-to-end research in astronomy
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## Current Work
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| Model | Score (%) |
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| AstroSage-8B (AstroMLab) | 77.2 |
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| LLaMA-3.1-8B | 73.7 |
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| AstroLLaMA-2-70B (AstroMLab) | 72.3 |
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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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| ChatGLM3-6B | 50.4 |
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| AstroLLaMA-2-7B (UniverseTBD) | 44.3 |
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AstroSage-8B, our lightweight model, currently achieves the highest score in
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## Support and Resources
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## Objectives
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- Develop specialized LLMs for astronomy
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- Create open-source models for advanced research
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- Facilitate LLM-driven end-to-end agentic research in astronomy
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## Current Work
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| Model | Score (%) |
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| **AstroSage-8B (AstroMLab)** | **77.2** |
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| LLaMA-3.1-8B | 73.7 |
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| **AstroLLaMA-2-70B (AstroMLab) | **72.3** |
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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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| ChatGLM3-6B | 50.4 |
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| AstroLLaMA-2-7B (UniverseTBD) | 44.3 |
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AstroSage-8B, our lightweight model, currently achieves the highest score among the ~7B parameter models in its astronomy knowledge recall ability.
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![Cost and performance trade-off in astronomical Q&A](AstroBench.png)
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## Support and Resources
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