Add README

README.md

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+---
+license: apache-2.0
+tags:
+- stripedhyena
+- long context
+- deep signal processing
+- hybrid
+- biology
+- genomics
+- phage
+- microviridae
+---
+
+# Evo 1 - Microviridae
+
+<p align="center">
+<img src="https://cdn-uploads.huggingface.co/production/uploads/62a1306bbe7fa896d2c8de44/JoEHcvLTUlHoMcgh3mmAz.png" width="70%" />
+</p>
+
+## About 
+
+This is a fine-tuned version of Evo 1, a biological foundation model capable of long-context modeling and design, specifically adapted for Microviridae phage sequences.
+
+Evo uses the [StripedHyena architecture](https://github.com/togethercomputer/stripedhyena) to enable modeling of sequences at a single-nucleotide, byte-level resolution with near-linear scaling of compute and memory relative to context length.
+
+## Model Details
+
+- **Base Model**: Evo 1 7B 131K base
+- **Fine-tuning**: 5,000 steps on Microviridae bacteriophage genomes
+- **Architecture**: StripedHyena
+- **Context Length**: 131,072 tokens
+- **Parameters**: 7B
+
+## Usage
+
+This model uses the StripedHyena architecture. For loading and generation, please refer to the [Evo repository](https://github.com/evo-design/evo).
+
+```python
+# Example usage with Evo framework
+from evo import Evo
+
+# Load base model and apply fine-tuned weights
+model = Evo('evo-1-131k-base')
+# Load the fine-tuned checkpoint
+checkpoint = torch.load('pytorch_model.bin')
+model.load_state_dict(checkpoint)
+```
+
+## Training
+
+Fine-tuned from `evo-1-131k-base` on Microviridae phage sequences for 5,000 steps.
+
+## License
+
+Apache 2.0