Evo2 40B DNA Language Model
| Property | Value |
|---|---|
| Parameter Count | 40 billion |
| Number of Layers | 50 |
| Maximum Sequence Length | 1 million tokens |
| Model Type | DNA Language Model |
| Author | Arc Institute |
| Model URL | Hugging Face |
What is evo2_40b?
Evo2_40b is a state-of-the-art DNA language model that represents a significant advancement in genomic sequence modeling. Trained autoregressively on trillions of DNA tokens, this model stands out for its impressive scale and capability to process extremely long sequences up to 1 million tokens in length.
Implementation Details
The model architecture consists of 50 layers with 40 billion parameters, making it one of the largest DNA language models available. It comes in two variants: the full model trained for 1M sequence length, and a base model trained on 8192 context length.
- Advanced autoregressive training methodology
- Scalable architecture supporting variable sequence lengths
- Available in multiple sizes (40B, 7B, and 1B parameters)
- Optimized for both long and standard context lengths
Core Capabilities
- Processing of DNA sequences up to 1 million tokens
- High-fidelity DNA sequence modeling
- Flexible deployment options with different model sizes
- Advanced genomic pattern recognition
Frequently Asked Questions
Q: What makes this model unique?
Evo2_40b's ability to handle extremely long DNA sequences (up to 1M tokens) and its massive scale of 40B parameters make it particularly powerful for complex genomic analysis tasks.
Q: What are the recommended use cases?
The model is ideal for DNA sequence analysis, genomic research, and other computational biology applications requiring deep understanding of genetic patterns.
