Update README.md

Signed-off-by: tina-z-jia <145156075+tina-z-jia@users.noreply.github.com>
This commit is contained in:
tina-z-jia
2024-12-04 08:22:35 -08:00
committed by GitHub
parent 00ac076be5
commit 52dfab8821

View File

@@ -17,7 +17,7 @@ pip install esm
## ESM C
[ESM Cambrian](https://www.evolutionaryscale.ai/blog/esm-cambrian) is a parallel model family to our flagship ESM3 generative models. While ESM3 focuses on controllable generation of proteins for therapeutic and many other applications, ESM C focuses on creating representations of the underlying biology of proteins.
ESM C comes with major performance benefits over ESM2. The 300M parameter ESM C delivers similar performance to ESM2 650M with dramatically reduced memory requirements and faster inference. The 600M parameter ESM C rivals the 3B parameter ESM2 and approaches the capabilities of the 15B model, delivering frontier performance with far greater efficiency. At the leading edge, the 6B parameter ESM C sets a new benchmark, outperforming all prior protein language models by a wide margin.
ESM C comes with major performance benefits over ESM2. The 300M parameter ESM C delivers similar performance to ESM2 650M with dramatically reduced memory requirements and faster inference. The 600M parameter ESM C rivals the 3B parameter ESM2 and approaches the capabilities of the 15B model, delivering frontier performance with far greater efficiency. The 6B parameter ESM C sets a new benchmark, outperforming the best ESM2 models by a wide margin.
ESM C models are available immediately for academic and commercial use under a new license structure designed to promote openness and enable scientists and builders. You can find our [open](www.evolutionaryscale.ai/policies/cambrian-open-license-agreement) and [non-commercial](www.evolutionaryscale.ai/policies/cambrian-non-commercial-license-agreement) license agreements here.