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Tencent-Hunyuan/ArtifactsBenchmark

ArtifactsBench: Bridging the Visual-Interactive Gap in LLM Code Generation Evaluation

No licenseRuns on MacPython
Stars
282
Forks
21
Open issues
1
Last push
10mo ago

ArtifactsBenchmark star history

+1 this week

282 ★
21 Oct25 Oct
ArtifactsBenchmark went from 281 to 282 GitHub stars over the last 4 days (+1, about 0 a day).

About ArtifactsBenchmark

ArtifactsBenchmark is a free, open-source LLM chat app by Tencent-Hunyuan, written mainly in Python. ArtifactsBench: Bridging the Visual-Interactive Gap in LLM Code Generation Evaluation. It has 282 GitHub stars and 21 forks, and was last updated 10mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially. According to the project, it works on macOS.

License
Not detected
Commercial use
No license
Language
Python
Stars
282
Last update
10mo ago
Runs on Mac
Yes (as stated by the project)
GPU
Not stated
Paid API key
Not stated
Self-hostable
Not stated

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ArtifactsBenchmark FAQ

Can I use ArtifactsBenchmark commercially?

Unclear. No license was detected, which legally means all rights are reserved. Ask the author before using it commercially. This is a plain-English summary, not legal advice.

Is ArtifactsBenchmark free?

Yes. ArtifactsBenchmark is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.

Does ArtifactsBenchmark run on a Mac?

Yes. According to the project, ArtifactsBenchmark works on macOS.

Does ArtifactsBenchmark need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is ArtifactsBenchmark still maintained?

It was last updated 10mo ago. Check recent issues on GitHub to judge how active it is.

What are alternatives to ArtifactsBenchmark?

Similar free, open-source tools include Hands-On-Large-Language-Models, FastChat, open-webui, FinGPT.

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