AutoArk/TinyEngram
Research of DeepSeek Engram Architecture based on Qwen-3 and Stable Diffusion series.
- Stars
- 1.4k
- Forks
- 88
- Open issues
- 10
- Last push
- 5mo ago
About TinyEngram
TinyEngram is a free, open-source machine learning tool by AutoArk, written mainly in Python. Research of DeepSeek Engram Architecture based on Qwen-3 and Stable Diffusion series. It has 1.4k GitHub stars and 88 forks, and was last updated 5mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- Python
- Stars
- 1,350
- Last update
- 5mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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TinyEngram FAQ
Is TinyEngram free?
Yes. TinyEngram is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does TinyEngram run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does TinyEngram need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is TinyEngram still maintained?
It was last updated 5mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to TinyEngram?
Similar free, open-source tools include peft, pytorch-image-models, easy-dataset, SimpleTuner.