> ## Documentation Index > Fetch the complete documentation index at: https://proto.evodesign.org/docs/llms.txt > Use this file to discover all available pages before exploring further. # Evo1 DNA Language Model > Evo1 genome language model for DNA sequence generation
Evo1 DNA Language Model
**License:** Evo1 is open source and free for academic and commercial use under an Apache-2.0 license. Please refer to [the license](https://github.com/evo-design/evo/blob/main/LICENSE) for full terms.

This generator is open source. Any third-party models, product names, or trademarks referenced are the property of their respective owners, and Proto is not affiliated with them.

Go to Tool Page
evo-design/proto-language/proto\_language/generator/evo1\_generator.py
View source
```bibtex theme={null} @article{nguyen2024evo, title={Sequence modeling and design from molecular to genome scale with Evo}, author={Nguyen, Eric and Poli, Michael and Durrant, Matthew G and Kang, Brian and Katrekar, Dhruva and Li, David B and Bartie, Liam J and Thomas, Armin W and King, Samuel H and Brixi, Garyk and Sullivan, Jeremy and Ng, Madelena Y and Lewis, Ashley and Lou, Aaron and Ermon, Stefano and Baccus, Stephen A and Hernandez-Boussard, Tina and R{\'e}, Christopher and Hsu, Patrick D and Hie, Brian L}, journal={Science}, volume={386}, number={6723}, pages={eado9336}, year={2024}, publisher={American Association for the Advancement of Science}, doi={10.1126/science.ado9336} } ```
Copy citation
Generator contributors
Sequence generator using the Evo1 genomic language model. Supports multiple checkpoints including CRISPR and transposon fine-tuned variants. The number of tokens to generate is automatically calculated based on the assigned segment's sequence\_length. ## API Reference
ConfigEvo1GeneratorConfig Source
Configuration object for Evo1Generator. Prompt sequences for DNA generation (single prompt or multiple) Evo1 model variant to load (e.g. evo-1-8k-base). Options: `evo-1.5-8k-base`, `evo-1-8k-base`, `evo-1-131k-base`, `evo-1-8k-crispr`, `evo-1-8k-transposon` At each step, restrict sampling to the k most probable tokens. Sharpness of the sampling distribution. Below 1 sharpens; above 1 increases diversity. Must be > 0. Whether to prepend prompt to generation GPU device to run Evo1 on (e.g. 'cuda' or 'cuda:0'). Number of sequences to process simultaneously on GPU Whether to print verbose output
## Usage ```python python icon="python" theme={null} >>> config = Evo1GeneratorConfig( ... prompts="ATG", ... model_checkpoint="evo-1-8k-crispr", ... temperature=1.0, ... ) >>> gen = Evo1Generator(config) >>> segment = Segment(length=1003, sequence_type="dna") >>> gen.assign(segment) # prepend_prompt defaults to False, so max_new_tokens = 1003 >>> gen.sample() ``` ## Metadata | Property | Value | | ------------------------ | ---------------- | | Key | `evo1` | | Class | `Evo1Generator` | | Category | `autoregressive` | | Input Type | `prompt` | | Uses GPU | `True` | | Supported Sequence Types | `dna` | | Allows Empty Start | `False` |