| --- |
| title: README |
| emoji: 🏢 |
| colorFrom: purple |
| colorTo: purple |
| sdk: static |
| pinned: false |
| --- |
| <div align="center"> |
|
|
| # QOSI — Qazaq Open Source Initiative |
|
|
| ### Open-source AI, data, and infrastructure for Kazakhstan and Central Asia |
|
|
| [](https://qosi.kz) |
| [](#) |
| [](#) |
| [](#) |
|
|
| </div> |
|
|
| --- |
|
|
| ## About QOSI |
|
|
| **QOSI — Qazaq Open Source Initiative** is a non-profit organization focused on advancing open-source technology adoption across Kazakhstan and Central Asia. |
|
|
| We work at the intersection of **open-source AI, cloud-native infrastructure, digital sovereignty, education, and public-sector innovation**. Our mission is to make modern technology more accessible, transparent, and reusable for governments, universities, startups, enterprises, and local developer communities. |
|
|
| On Hugging Face, QOSI aims to publish and support open resources for: |
|
|
| - Kazakh-language AI and NLP |
| - Open datasets and benchmarks |
| - Educational AI tools |
| - Sovereign and on-premise AI use cases |
| - Public-sector AI prototypes |
| - Reproducible open-source ML workflows |
|
|
| --- |
|
|
| ## Focus Areas |
|
|
| ### Kazakh Language AI |
|
|
| We support the development of open Kazakh-language resources, including datasets, evaluation benchmarks, models, tokenization experiments, OCR workflows, speech resources, and practical NLP tooling. |
|
|
| ### Open AI Education |
|
|
| QOSI promotes AI literacy through open learning materials, practical labs, model demos, and infrastructure patterns that can be reused by schools, universities, companies, and public organizations. |
|
|
| ### Sovereign AI Infrastructure |
|
|
| We advocate for transparent, auditable, and locally deployable AI systems built on open-source foundations — especially for sensitive, regulated, or public-interest workloads. |
|
|
| ### Open Data & Benchmarks |
|
|
| We believe responsible AI development requires high-quality datasets, clear documentation, transparent evaluation, and reproducible benchmarks. |
|
|
| ### Community & Ecosystem |
|
|
| QOSI supports collaboration between engineers, researchers, policymakers, students, and open-source communities across Kazakhstan and Central Asia. |
|
|
| --- |
|
|
| ## What We Publish Here |
|
|
| This Hugging Face organization may include: |
|
|
| | Repository Type | Purpose | |
| |---|---| |
| | **Datasets** | Kazakh-language, regional, educational, and public-interest datasets | |
| | **Models** | Fine-tuned or experimental open models for Kazakh and regional use cases | |
| | **Spaces** | Interactive demos, prototypes, and educational tools | |
| | **Benchmarks** | Evaluation suites for language, reasoning, OCR, speech, and domain tasks | |
| | **Collections** | Curated open-source AI resources relevant to Kazakhstan and Central Asia | |
|
|
| --- |
|
|
| ## Principles |
|
|
| QOSI follows a practical open-source philosophy: |
|
|
| 1. **Open by default** where legally and ethically possible. |
| 2. **Documented and reproducible** so others can verify, reuse, and improve the work. |
| 3. **Language-inclusive** with special attention to Kazakh-language technology. |
| 4. **Infrastructure-aware** for real-world deployment in on-premise, sovereign, and regulated environments. |
| 5. **Community-driven** because technology adoption fails when people are treated as an afterthought. Yes, shocking. |
|
|
| --- |
|
|
| ## Responsible AI |
|
|
| We encourage every model and dataset published under QOSI to include clear documentation covering: |
|
|
| - Intended use |
| - Limitations |
| - Dataset origin and preprocessing |
| - Licensing |
| - Bias and safety considerations |
| - Evaluation methodology |
| - Deployment recommendations |
|
|
| For sensitive use cases, we recommend local review, domain validation, and compliance checks before production deployment. |
|
|
| --- |
|
|
| ## Collaboration |
|
|
| We welcome collaboration with: |
|
|
| - Open-source contributors |
| - Universities and research groups |
| - AI engineers and data scientists |
| - Public-sector digital teams |
| - Startups and technology companies |
| - International open-source foundations |
| - Central Asian language and culture initiatives |
|
|
| Potential collaboration topics include Kazakh NLP, OCR, speech recognition, open datasets, public-sector AI assistants, AI education, and cloud-native AI infrastructure. |
|
|
| --- |
|
|
| ## Contact |
|
|
| - Website: [qosi.kz](https://qosi.kz) |
| - Hugging Face: Follow this organization for upcoming datasets, models, demos, and open-source AI resources. |
| - Community: QOSI works with local and international open-source communities to strengthen the regional technology ecosystem. |
|
|
| --- |
|
|
| <div align="center"> |
|
|
| **Building open technology capacity for Kazakhstan and Central Asia.** |
|
|
| </div> |
