Shreshth Gandhi Claude commited on
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Add blog post link to quick links section

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- Added blog post as first link in Quick Links with sparkles emoji
- Links now ordered: Blog โ†’ Preprint โ†’ GitHub โ†’ Demo

๐Ÿค– Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

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  1. README.md +1 -0
README.md CHANGED
@@ -16,6 +16,7 @@ tags:
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  Tahoe-x1 is a family of perturbation-trained single-cell foundation models with up to 3 billion parameters, developed by Tahoe Therapeutics. Pretrained on 266 million single-cell transcriptomic profiles including the _Tahoe-100M_ perturbation compendium, Tahoe-x1 achieves state-of-the-art performance on cancer-relevant tasks with 3โ€“30ร— higher compute efficiency than other cell-state models.
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  **Quick Links:**
 
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  - ๐Ÿ“„ [**Preprint**](https://www.biorxiv.org/content/10.1101/2025.10.23.683759v1) - Read our preprint on bioRxiv
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  - ๐Ÿ’ป [**GitHub Repository**](https://github.com/tahoebio/tahoe-x1) - Access the code
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  - ๐ŸŽฎ [**Interactive Demo**](https://huggingface.co/spaces/tahoebio/tx1-demo) - Try the model with no code required!
 
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  Tahoe-x1 is a family of perturbation-trained single-cell foundation models with up to 3 billion parameters, developed by Tahoe Therapeutics. Pretrained on 266 million single-cell transcriptomic profiles including the _Tahoe-100M_ perturbation compendium, Tahoe-x1 achieves state-of-the-art performance on cancer-relevant tasks with 3โ€“30ร— higher compute efficiency than other cell-state models.
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  **Quick Links:**
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+ - โœจ [**Blog Post**](https://www.tahoebio.ai/news/tahoe-x1-blog) - Read our announcement
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  - ๐Ÿ“„ [**Preprint**](https://www.biorxiv.org/content/10.1101/2025.10.23.683759v1) - Read our preprint on bioRxiv
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  - ๐Ÿ’ป [**GitHub Repository**](https://github.com/tahoebio/tahoe-x1) - Access the code
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  - ๐ŸŽฎ [**Interactive Demo**](https://huggingface.co/spaces/tahoebio/tx1-demo) - Try the model with no code required!