From 19112d907221fc3711165ef09bc29ab7a64c5209 Mon Sep 17 00:00:00 2001 From: Jonathan Xue <105090474+jxue16@users.noreply.github.com> Date: Wed, 4 Dec 2024 10:19:26 -0800 Subject: [PATCH] Revert "@rishibommasani - add chai-1-1" --- assets/01ai.yaml | 21 --------------------- 1 file changed, 21 deletions(-) diff --git a/assets/01ai.yaml b/assets/01ai.yaml index cd221aa1..3adbacfc 100644 --- a/assets/01ai.yaml +++ b/assets/01ai.yaml @@ -54,24 +54,3 @@ prohibited_uses: '' monitoring: unknown feedback: https://huggingface.co/01-ai/Yi-VL-34B/discussions -- type: model - name: Chai-1 - organization: Chai Discovery Team - description: Chai-1 is a multi-modal foundation model for molecular structure prediction that performs at the state-of-the-art across a variety of tasks relevant to drug discovery. It enables unified prediction of proteins, small molecules, DNA, RNA, covalent modifications, and more. It tested with a 77% success rate on the PoseBusters benchmark and an Cα LDDT of 0.849 on the CASP15 protein monomer structure prediction set. - created_date: 2024-09-09 - url: https://www.chaidiscovery.com/blog/introducting-chai-1 - model_card: - modality: Unknown - analysis: The model was tested across a large number of benchmarks and found to achieve a 77% success rate on the PoseBusters benchmark (vs. 76% by AlphaFold3), as well as an Cα LDDT of 0.849 on the CASP15 protein monomer structure prediction set (vs. 0.801 by ESM3-98B). The model can also run in single sequence mode without MSAs while preserving most of its performance. - size: Unknown - dependencies: Unknown - training_emissions: Unknown - training_time: Unknown - training_hardware: Unknown - quality_control: Unknown - access: The model is available for free via a web interface for commercial applications such as drug discovery and the model weights and inference code are also released as a software library for non-commercial use. - license: Unknown - intended_uses: Can be used for drug discovery and other applications that require molecular structure prediction. - prohibited_uses: Unknown - monitoring: Unknown - feedback: Unknown