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ChemGPT-1.2B

ncfrey

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Text generation

Input Text→ Output Text

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ChemGPT is based on the GPT-Neo model and was introduced in the paper Neural Scaling of Deep Chemical Models. ChemGPT is a transformers model for generative molecular modeling, which was pretrained on the PubChem10M dataset. This model was trained on a subset of molecules from PubChem. You can use this model to generate molecules, but it is mostly intended to be used for investigations of the effects of pre-training and fine-tuning on downstream datasets.

Text generation

Input Text→ Output Text

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ChemGPT-4.7M

ncfrey

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Text generation

Input Text→ Output Text

Price not verifiedCheck multimodal and channel pricing separately

View details ↗

CompareSource / docs ↗

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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ChemGPT-1.2B

ChemGPT-19M

ChemGPT-4.7M

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