README.md

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title: RuVI Labs
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# RuVI Labs

**Build good models for people.**

<sub>A research lab from India · language models, built the honest way</sub>

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![India](https://img.shields.io/badge/MADE_IN-INDIA-000000?style=for-the-badge&labelColor=000000)
![Weights](https://img.shields.io/badge/WEIGHTS-OPEN-ffffff?style=for-the-badge&labelColor=000000)
![Data](https://img.shields.io/badge/DATA-OPEN-000000?style=for-the-badge&labelColor=000000)
![Scratch](https://img.shields.io/badge/BUILT-FROM_SCRATCH-ffffff?style=for-the-badge&labelColor=000000)

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## 01 · Who we are

RuVI Labs is a small, independent research lab based in India. We design, train and release language models end to end: architecture, data, training and inference, with no borrowed foundations.

We build for the people who will actually use the models: students, developers, and teams working with limited compute. If a model can't run where its users are, it isn't finished.

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*Small lab, serious work.*

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## 02 · Pragya

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# P R A G Y A

**A family of language models**
**trained end to end on open data**

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| Model | Status | Notes |
|:--|:-:|:--|
| **Pragya Brahmã** (flagship) | planned | Open weights, open data |
| **Pragya Vayu** | 🧪 Training| Built for low-resource hardware |
| **Pragya medha** | 🧪 Planned | Medium tier |



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## 03 · Our principles

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**◼ Open weights**

Free to use, free to build on.

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**◻ Open data**

Nothing hidden in the corpus.

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**Capable release**
 Release whats peak 

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### What "from scratch" means to us

- **Own architecture.** Designed and implemented in-house.
- **Own training run.** Pretrained by us on data we can document.
- **Own tooling.** Training, evaluation and inference code built and released alongside the weights.

### What "open" means to us

- Weights you can download, run and modify.
- A data recipe you can inspect and question.
- Honest reporting, including what didn't work.

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## 04 · What we believe

> **Good models are *different*.**

**I.** Trained to perform differently.
**II.** Built with the motive to undo what we assume is possible in AI.
**III.** Made to achieve, and made to perform.

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## 05 · What we're working on

- 🔨 **Pretraining the Pragya family** on open data
- 🧪 **Efficient architectures** that make small models punch above their size
- 🧪 **Quantization and fast inference** so models run on modest hardware
- 🧪 **Open evaluation**: transparent benchmarks and model cards

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## 07 · Quick facts

| | |
|:--|:--|
| **Lab** | RuVI Labs |
| **Founder** | Arush Kumar |
| **Home** | 🇮🇳 India |
| **Family** | Pragya |
| **License** | Open weights |
| **Mode** | Building quietly. Shipping publicly. |

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## 08 · FAQ

**Are the models really trained from scratch?**
Yes. Architecture, pretraining and tooling are our own. Some Models are LoRA

**Can I use the weights commercially?**
Check the license on each model card. Our goal is permissive, open release.

**Can I contribute?**
Yes. Open a discussion on any repo here, or reach out below.

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## 09 · Follow along

Follow the organization on Hugging Face to get notified when models and datasets drop.

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<img src="logo.png" alt="RuVI Labs" width="56">

**RUVI LABS**

*small lab, serious work.*

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