ALICE
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Nanhu Brain-Computer Interface Institute,Lingang Laboratory,Medical School of Nantong University,Zhejiang University School of Medicine
- Organisation type
- Academia
- Country
- China
- Published
- 11 October 2024
- Authors
- Hanyu Zheng, Binjie Guo, Aisheng Mo, Hongyan Wei, Yile Wu, Xurong Lin, Haohan Jiang, Hengguang Li, Yunshuo Zhang, Zhuoyuan Song, Xuebin Ni, Yan Huang, Xiaosong Gu, Bin Yu, Ningtao Cheng, Xuhua Wang
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Biology
- Task
- Protein design
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
- Epochs
- 25
2.89e6 sequences × 7 residues/sequence = 2.023e7 datapoints
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- Mapping AAV capsid sequences to functions through function-guided in silico evolution
- Last updated
- 28 November 2025
What the numbers mean
Background
ALICE was published by Nanhu Brain-Computer Interface Institute,Lingang Laboratory,Medical School of Nantong University,Zhejiang University School of Medicine, in the country recorded as China, during October 2024. The publishing organisation is categorised as academia.
It works in the domain of Biology, and is recorded as performing the task of protein design.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
ALICE — common questions
ALICE— when was it released?
It was published in October 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
ALICE— what is it used for?
It works in the domain of Biology, and is recorded as handling the task of protein design. These are the areas it was designed around; they describe intent rather than a hard boundary.
ALICE— what GPU do I need to run it?
None. This is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
ALICE— is it open source?
The licensing was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
ALICE— how many parameters does it have?
No parameter count has been published for it, which is why no memory or speed figure appears on this page.
ALICE— who created it?
It was published by Nanhu Brain-Computer Interface Institute,Lingang Laboratory,Medical School of Nantong University,Zhejiang University School of Medicine, based in China, an organisation categorised as academia.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.