Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. • 13 items • Updated • 5
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Evo 2 20B, 1M context
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 and paper.
Model Details
- Base Model: Evo 2 20B
- Context Length: 1 million tokens
- Parameters: 20B
- Architecture: 50 layers
Main Evo 2 Checkpoints
Evo 2 40B 20B, and 7B checkpoints, trained up to 1 million sequence length, are available here:
We also share 40B, 7B, and 1B base checkpoints trained on 8192 context length:
| Checkpoint name | Num layers | Num parameters |
|---|---|---|
| evo2_40b_base | 50 | 40B |
| evo2_7b_base | 32 | 7B |
| evo2_1b_base | 25 | 1B |
Usage
Please refer to the Evo 2 GitHub repository for detailed usage instructions and examples.
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