---
title: Leotsha
emoji: 🎮
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false
tags:
- sepedi
- african-language
- sediba
- datafication
- edu
- game
- cdi
license: agpl-3.0
---

# Leotsha — 7-Mode CDI Datafication Surface

**Leotša la Sediba** (leotša = millet, a foundational grain crop native to the land) is the public-facing **7-mode datafication game surface** of the Sediba AI Sepedi platform — the interactive application layer where people play the 7 mode games that the CDI (Content/Domain Intelligence) layer produced.

Leotsha sits on top of the **Leotša la Sediba 7-model CDI/d-acidification layer** (the Sepedi-xlvi Content/Domain Intelligence layer held in the `leotsha_project` repo). It gives end users a Sepedi-native way to interact with and play the datafication modes that the CDI layer produced.

## What Leotsha does

- **7 mode games** — the interactive datafication surface of the Sediba Sepedi platform. Each mode is a game built on CDI-layer content/domain intelligence produced by the 7-model CDI layer.
- **Sepedi-first** — the whole surface is Sepedi-native; it is built for Sepedi speakers and Sepedi contexts first.
- **An entry point for the broader Sediba AI Sepedi stack** — datasets, models (sediba-XLM-R, Zabantu Nso sentiment), and the CDI training pipeline feed into the 7 modes.

## The 7 modes

The Space exposes the **7 modes** of the CDI datafication layer as interactive games. These 7 modes are the product of the 7-model CDI/d-acidification layer held in `leotsha_project`; Leotsha is the surface that makes them playable on the internet.

## Morutabana Domain — Teacher/Class Enrollment

The **Morutabana Domain** is the teacher/class enrollment layer within the leotsha platform. It is where:

- **Teachers enroll their classes** — each class gets a unique code.
- **Learners join via class code** — students get their class login details from the teacher, then join the class on the platform.
- **Students participate with classmates** — learners engage with fellow classmates, and can complete with other students and classes across the leotsha platform.
- **Teachers upload their own Sepedi material** — short story books, poems, long texts, and other Sepedi content that the teacher wants their learners to engage with.
- **Material syncs to the game modes** — the uploaded material feeds into the 7 mode games, which in turn train the **EduIntel pipeline** and the overall **SepediLM**.

This closes the loop: teacher-created content → game modes → EduIntel training → SepediLM improvement — all within the Morutabana Domain of the leotsha platform.

## The Sediba stack

| Layer | Component | Where |
|---|---|---|
| Application / game layer | **Leotsha** (this Space) — 7-mode datafication surface | `huggingface.co/spaces/Sediba-AI/leotsha` |
| CDI / model layer | Leotša la Sediba (conversational Sepedi) + sediba-XLM-R (MLM) + 7-model CDI layer | held in `leotsha_project` repo + Sediba vaults |
| Data layer | Sepedi training corpora + Sepedi-xlvi datasets | `huggingface.co/datasets/Sediba-AI/sepedi-training-v1` |

## Model family context

| Model | Role | Status | Where |
|---|---|---|--|
| **sediba-XLM-R** | Masked-language Sepedi NLU anchor | **Shipped** | `Sediba-AI/sediba-XLM-R` on HF |
| **Leotša la Sediba** | Conversational Sepedi (RLHF tier) | **Pending — publication holds until 1B+ base tier** | Sediba vaults; HF publication pending |
| **SedibaLM V7** | QLoRA experiment: Qwen2.5-1.5B + custom Sepedi vocab | **In training (Kaggle trail)** | Kaggle: `sedibaai/sedibalm-v7-sepedi-qlora` |

**Leotša la Sediba** and SedibaLM V7 are **not** published under this Space's model references. They are tracked separately in Sediba's vaults and training pipeline.

## Status

This Space is the **7-mode CDI datafication surface** in public — the application-layer game surface that Leotsha (the 7-model CDI layer) owns. The underlying models are at different stages: sediba-XLM-R is shipped; **Leotša la Sediba** publication holds until the 1B+ base tier is reached; SedibaLM V7 is in training on the Kaggle trail.

Built by Sediba AI | Mankweng, Limpopo.