westlake-repl/Evolla-10B-hf

This model aims to be a base template for new models. It has been generated using this raw template.

This model was finetuned on concatenated pairs of interacting proteins in much the same way as PepMLM. It is meant to generate interaction partners for proteins using the masked language modeling capabilities of ESM-2. The model is not well tested, so use with caution.

# FremyCompany/BioLORD-2023-M This model was trained using BioLORD, a new pre-training strategy for producing meaningful representations for clinical sentences and biomedical concepts.

TinyDNABERT is a specialized deep learning model designed for understanding the language of DNA and performing DNA sequence classification tasks. This model is a compact and efficient version of the DNABERT model, optimized to reduce memory usage while maintaining high performance.

# DrugGen 2: A disease-aware language model for enhancing drug discovery DrugGen-2 is a disease‑aware language model specialized for generating drug-like SMILES structures based on both disease pathways and protein sequence.

This repository contains a drop-in, Hugging Face–compatible checkpoint converted from https://huggingface.co/microsoft/llava-med-v1.5-mistral-7b. You can load it with the exact same code you use for the original model—no extra conversion steps required.