SupraLabs

non-profit
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Train, finetune and explore small models with good results to revolutionize small AI models by making them accessible to everyone

Recent Activity

QyrouNnet-AI  published a model about 3 hours ago
SupraLabs/supra-title-FFT-preview
QyrouNnet-AI  published a dataset about 5 hours ago
SupraLabs/supra-wild-titles-130k
QyrouNnet-AI  updated a dataset about 5 hours ago
SupraLabs/supra-wild-titles-130k
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Organization Card

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Welcome to SupraLabs!

SupraLabs is an open-source AI research organization focused on Small Language Models (SLMs), datasets, and efficient AI systems designed for accessibility and real-world deployment. Our mission is to advance efficient and accessible AI by developing open-source Small Language Models, datasets, and tools that can run on a wide range of hardware.


Our Creations...

At SupraLabs, innovation is our core skills... Here is what we have made.

Models

Model Description
Supra-1.5 Instruct (EXP) Instruction-tuned experimental release. Demo
Supra-1.0 Reasoning (50M) First-generation reasoning model. Demo
Supra-1.5 Base (EXP) Base model (v1.5 · Latest).
Supra Titles (EXP) First-generation chat title generation model.
All Models from SupraLabs View all the AI models from SupraLabs

Datasets

Dataset Description
150K Chat Titles (Unfiltered) 150K samples of unfiltered chat title data.
115K Chat Titles (Filtered) 115K filtered chat titles generated from the first user message.
500× Supra-1.0 Reasoning 500 reasoning traces from Qwen-3-1.7B used to train the first-generation reasoning model.

Blogs & Research

Resource Description
Blog Read our latest blog posts.
Research Explore our research publications and findings.

Our Naming Conventions...

At SupraLabs, we use a strict naming system for our models to avoid confusion!

  • EXP (Experimental) — Early-stage release intended for testing and development. These models may be unstable, incomplete, or subject to significant changes.

  • Preview — A near-final release that provides an early look at the intended final model. Minor tuning, optimizations, or improvements may still be pending.

  • No Tag — Stable final release. Recommended for general use and represents the intended production version.


Hardware

The hardware used by SupraLabs contributors for research, training, evaluation, and development.

  • RX Vega 7 8GB/Radeon Graphics 448SP 8GB (AxionLab)
  • RTX 5060 Ti 16GB (LH-Tech AI)
  • RTX 3060 12GB/2x RTX 5070 12GB/RTX 5060 8GB/Jetson Nano Orin 8GB (LyJonathan)
  • RTX 3060 12GB/ GTX 1060 6GB (MMorgan-ML)
  • RTX 5070 12GB (QyrouNnet-AI)
  • RTX 4070 12GB (User01110)

Who we are...

We are

  • @AxionLab-official
  • @LH-Tech-AI
  • @LyJonathan
  • @MMorgan-ML
  • @QyrouNnet-AI
  • @User01110

We are creating small open-source models for everyone.

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!

Our models can be found in the open SLM leaderboard – feel free to check out! You can support us with a follow! 😊