fpgaminer/joycaption
JoyCaption is an image captioning Visual Language Model (VLM) being built from the ground up as a free, open, and uncensored model for the community to use in training Diffusion models.
- Stars
- 1.3k
- Forks
- 73
- Open issues
- 39
- Last push
- 8mo ago
About joycaption
joycaption is a free, open-source LLM chat app by fpgaminer, written mainly in Jupyter Notebook. JoyCaption is an image captioning Visual Language Model (VLM) being built from the ground up as a free, open, and uncensored model for the community to use in training Diffusion models. It has 1.3k GitHub stars and 73 forks, and was last updated 8mo ago. It's released under the Apache-2.0 license, a standard open-source license. According to the project, it needs a GPU with at least 17 GB of memory.
- License
- Apache-2.0
- Language
- Jupyter Notebook
- Stars
- 1,284
- Last update
- 8mo ago
- Runs on Mac
- Not stated
- GPU
- 17 GB+ (as stated by the project)
- Paid API key
- Not stated
- Self-hostable
- Not stated
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joycaption FAQ
Is joycaption free?
Yes. joycaption is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does joycaption run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does joycaption need a GPU?
According to the project, joycaption needs a GPU with at least 17 GB of memory.
Is joycaption still maintained?
It was last updated 8mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to joycaption?
Similar free, open-source tools include Hands-On-Large-Language-Models, Qwen, Megatron-LM, Chinese-LLaMA-Alpaca.