# ChemFoundationModels/ChemLLMBench

<https://repo.masters-masters.com/en/repos/ChemFoundationModels/ChemLLMBench>

[Home](https://repo.masters-masters.com/en) › [ChemFoundationModels](https://repo.masters-masters.com/en/owners/ChemFoundationModels) › [ChemLLMBench](https://repo.masters-masters.com/en/repos/ChemFoundationModels/ChemLLMBench)

ChemFoundationModels/ChemLLMBench has 176 stars on GitHub. Its RepoMasters card: Prototype tier. Official Code for What can Large Language Models do in…

| Field | Value |
| --- | --- |
| Owner | [ChemFoundationModels](https://repo.masters-masters.com/en/owners/ChemFoundationModels) |
| Stars | 176 |
| Forks | 8 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2023 |
| Topics | benchmark, chemistry, large-language-models, llm, nlp, ai4science, llms-benchmarking |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ChemFoundationModels/ChemLLMBench](https://github.com/ChemFoundationModels/ChemLLMBench) |

## Repository

Official Code for What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks (In NeurIPS 2023)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.