Add model card with Evo2 branding

README.md

@@ -1,3 +1,44 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+tags:
+- biology
+- genomics
+- DNA
+---
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/649aee789fc303937a045f6a/IGUfG31MMvDzhdjRK-nlJ.jpeg" width="70%" />
+
+## Evo 2 7B 262k Context
+
+This is an intermediate version of Evo 2 7B, trained with up to a 262,144 token context length.
+
+Evo 2 is a state-of-the-art DNA language model trained autoregressively on trillions of DNA tokens.
+
+For instructions, details, and examples, please refer to the [GitHub](https://github.com/ArcInstitute/evo2) and [paper](https://www.biorxiv.org/content/10.1101/2025.02.18.638918).
+
+## Model Details
+
+- **Base Model**: Evo 2 7B
+- **Context Length**: 262,144 tokens (262k)
+- **Parameters**: 7B
+- **Checkpoint**: Iteration 12,500
+- **Architecture**: 32 layers
+
+## Main Evo 2 Checkpoints
+
+Evo 2 40B and 7B checkpoints, trained up to 1 million sequence length, are available here:
+| Checkpoint name | Num layers | Num parameters |
+|------------------------------|----|----------|
+| [evo2_40b](https://huggingface.co/arcinstitute/evo2_40b) | 50 | 40B |
+| [evo2_7b](https://huggingface.co/arcinstitute/evo2_7b) | 32 | 7B  | 
+
+We also share 40B, 7B, and 1B base checkpoints trained on 8192 context length:
+| Checkpoint name | Num layers | Num parameters |
+|------------------------------|----|----------|
+| [evo2_40b_base](https://huggingface.co/arcinstitute/evo2_40b_base) | 50 | 40B |
+| [evo2_7b_base](https://huggingface.co/arcinstitute/evo2_7b_base) | 32 | 7B  | 
+| [evo2_1b_base](https://huggingface.co/arcinstitute/evo2_1b_base) | 25 | 1B  |
+
+## Usage
+
+Please refer to the [Evo 2 GitHub repository](https://github.com/ArcInstitute/evo2) for detailed usage instructions and examples.