FoundationVision / Liquid
(Accepted by IJCV) Liquid: Language Models are Scalable and Unified Multi-modal Generators
Why this job: works in the areas we cover, but does not say which job it does
What it does
Using Liquid for inference or evaluation doesn't require complex environment dependencies. Since it's essentially a HuggingFace format language model, you only need the transformers library and some basic components to run it. Refer to EVAL.md for recommended versions.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 641
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 98% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 50% closed
- 12 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 98%
- Shell 2%
Topics
- autoregressive-models
- generative
- generative-ai
- image-gen
- large-language-models
- llms
- multimodal-large-language-models
- text-to-image
- text-to-image-generation
Project record
- JobOther AI tools
- StatusListed
- Commits13
- Forks36
- Watching19
- Stars in 28 days+2
- CreatedDec 12, 2024
- First seen by usNov 7, 2026
- CheckedNov 7, 2026