## Model Overview

### Description:

A genome-scale language foundation model (GenSLM) is an LLM trained on all known genomes from a virus or bacteria. It learns the evolutionary landscape of viruses like SARS-CoV-2 and can accurately and rapidly identify new variants.

This demo shows the visualization of the sequence log-likelihood (blue bar) and the cross-protein attention (orange lines), generated from the model, for a selected lineage to understand its co-evolutionary patterns.

### Terms of use

By accessing this model, you are agreeing to the [license](https://github.com/ramanathanlab/genslm#license), [acceptable use policy](https://github.com/ramanathanlab/genslm#citations)

### References(s):

* [Repo](https://github.com/ramanathanlab/genslm) <br>
* [Article](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709791/) <br>

### Model Architecture:

**Architecture Type:** Transformer <br>
**Network Architecture:** GenSLM <br>

genslm

A genome-scale language foundation model (GenSLM) is an LLM trained on all known genomes from a virus or bacteria. It learns the evolutionary landscape of viruses like SARS-CoV-2 and can accurately and rapidly identify new variants.

GenSLM: Genome-scale language model