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---
title: README
emoji: 🏆
colorFrom: gray
colorTo: green
sdk: static
pinned: false
---

<img src="https://cdn-uploads.huggingface.co/production/uploads/697f2832c2c5e4daa93cece7/dLbJid_a6DBmVhoVLKo0m.png" width="300">

# Welcome to SupraLabs!

## Who we are
We are @AxionLab-official, @LH-Tech-AI and @av-codes. We are creating small open-source models for everyone.

## What we do
We train, finetune, and explore small models. Our goal is to revolutionize small AI models by making them accessible to everyone!

## What we do NOT do
We are **not** making bad (or we try not to!) models and we try to fully open source our models and code. Some models may be fully opensourced, while others might not.

## Models

- OUR TOP MODEL: Supra 50M Instruct: a 50m model which is VERY good! Our flagship.
- Supra Mini 0.1M: Trained on Kaggle 2xT4, 100k parameters, compared to models 10x it size
- Supra Mini **v2** 0.1M: the second version of the Supra Mini series.
- Supra Mini **v3** 0.5M: the third version of the Supra Mini series.
- Supra Mini **v4** 2M: the fourth version of the Supra Mini series. Improved. More powerful. With context understanding.
- Supra Mini **v5** 8M: the fifth version of the Supra Mini series. A huge token-eater monster compared to its siblings.
- MicroSupra 1k: Trained on GTX 750 Ti 4GB, a scaling laws experiment.
- StorySupra-10M: Trained on RTX 5060 Ti 16GB for 10 minutes, coherent.
- DistillSupra-0.2M: Trained on GTX 750 Ti 4GB for 30 minutes, still incoherent, but the first step for distillation research.
- **More Coming Soon! Comeback later!**

## Competing with other creators
We are competing with @CompactAI-O, @LH-Tech-AI(we know it's funny to compete against your own founder, but anyway 🤣) and @AxiomicLabs.
<br>See all of our and our competitors tiny models here: [https://lh-tech.de/ai/compare-tiny-models.html](https://lh-tech.de/ai/compare-tiny-models.html)

## Future models

- Supra-124M: Base, Chat, Reasoning - Trained on RTX 5060 Ti 16GB, with Nvidia technologies and CUDA

## Hardware
- RTX 5060 Ti 16GB (LH-Tech AI)
- GTX 750Ti 4GB (AxionLab)
- RTX 4090 Mobile 16GB (Everlier)

## Blog
[https://huggingface.co/spaces/SupraLabs/Blog](https://huggingface.co/spaces/SupraLabs/Blog)

## Feedback and Support
Feedback and support welcomed. Feel free to ask to join our organization if you want!

## Note

Some content, such as our blogs or readmes, may be created with the help of AI because not all of us have strong English skills.