Downloads · 30 days
9
32% of all-time downloads
esm2_t33_650M_UR50D
Iambackup/esm2_t33_650M_UR50D
esm2_t33_650M_UR50D is a machine learning model from Iambackup. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective. It is suitable for fine-tuning on a wide range of tasks that take protein sequences as input. For detailed information on the…
All-time downloads
28
Public
Parameters
652M
18.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin2.6 GB · 33%
Parameter types
How the weights are stored.
F32652M · 100%
Try a prompt
Model card
From the Hugging Face model README
ESM-2
ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective. It is suitable for fine-tuning on a wide range of tasks that take protein sequences as input. For detailed information on the model architecture and training data, please refer to the accompanying paper. You may also be interested in some demo notebooks (PyTorch, TensorFlow) which demonstrate how to fine-tune ESM-2 models on your tasks of interest.
Several ESM-2 checkpoints are available in the Hub with varying sizes. Larger sizes generally have somewhat better accuracy, but require much more memory and time to train:
| Checkpoint name | Num layers | Num parameters |
|---|---|---|
| esm2_t48_15B_UR50D | 48 | 15B |
| esm2_t36_3B_UR50D | 36 | 3B |
| esm2_t33_650M_UR50D | 33 | 650M |
| esm2_t30_150M_UR50D | 30 | 150M |
| esm2_t12_35M_UR50D | 12 | 35M |
| esm2_t6_8M_UR50D | 6 | 8M |
- Type
- esm
- License
- mit
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026