Home Projects TinyEngram
TinyEngram
Python

TinyEngram

Research of DeepSeek Engram Architecture based on Qwen-3 and Stable Diffusion series.

by AutoArk · GitHub
Stars
Forks
Created
Last commit
Category
Language
deepseekdeepseek-aiengramPython
View on GitHub
In plain words

Explore research on memory techniques for AI models, focusing on improving efficiency and performance.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
TinyEngram — GitHub preview card
📈 Star history
1.1k0.7k
2026-07-202026-08-31
📈 Track TinyEngram

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Research of DeepSeek Engram Architecture based on Qwen-3 and Stable Diffusion series.

TinyEngram has 1.1k stars on GitHub. It has been forked 75 times. TinyEngram is written mainly in Python. It has been in active development since 2026. Its main topics are deepseek, deepseek-ai, engram, fine-tuning.

Frequently asked questions

What is TinyEngram?

Research of DeepSeek Engram Architecture based on Qwen-3 and Stable Diffusion series.

Is TinyEngram open source?

TinyEngram is an open-source project.

Is TinyEngram free?

Yes. TinyEngram is free and open source — you can use, modify and self-host it.

What language is TinyEngram written in?

TinyEngram is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — TinyEngram

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=autoark-tinyengram)](https://olud.ai/project/autoark-tinyengram.html)
More badge options →
🧬 Related projects🧬 View the DNA map →