# Biomedical research

Esmplusplus Small
ESM++ is a faithful implementation of ESMC, supporting batch processing and compatible with the standard Huggingface interface without requiring the ESM Python package. The small version corresponds to the 300-million-parameter version of ESMC.
Protein Model Transformers
E
Synthyra
6,460
14
Progen2 Xlarge
Bsd-3-clause
ProGen2-xlarge is a protein generation model based on the foundational model proposed by Nijkamp et al., with modifications to its configuration and forward propagation.
Large Language Model Transformers
P
hugohrban
38
1
Progen2 Base
Bsd-3-clause
ProGen2-base is a protein generation model based on the research by Nijkamp et al., supporting protein sequence generation and prediction.
Large Language Model Transformers
P
hugohrban
4,937
3
Esm2 T36 3B UR50D
MIT
ESM-2 is a next-generation protein model trained with masked language modeling objectives, suitable for fine-tuning on various downstream tasks with protein sequences as input.
Protein Model Transformers
E
facebook
3.5M
22
Esm2 T30 150M UR50D
MIT
ESM-2 is a state-of-the-art protein model trained on masked language modeling objectives, suitable for fine-tuning on various protein sequence input tasks.
Protein Model Transformers
E
facebook
69.91k
7
Esm2 T12 35M UR50D
MIT
ESM-2 is a cutting-edge protein model trained on masked language modeling objectives, suitable for various protein sequence analysis tasks
Protein Model Transformers
E
facebook
332.83k
15
Esm2 T6 8M UR50D
MIT
ESM-2 is a next-generation protein model trained with masked language modeling objectives, suitable for fine-tuning on various protein sequence tasks.
Protein Model Transformers
E
facebook
1.5M
21
Singlebertmodel ProtBertfinetuned Smilesbindingdb
This model is a fine-tuned version based on Rostlab/prot_bert, designed for tasks involving the relationship between protein sequences and SMILES molecular representations.
Large Language Model Transformers
S
nepp1d0
38
0
Esm 1b
ESM-1b is a large-scale protein language model based on the Transformer architecture, developed by Facebook AI Research (FAIR).
Large Language Model Transformers
E
facebook
342
17
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase