QOSIkz/kz-privacy-filter-v1
Token Classification • 1B • Updated
AI & ML interests
National LLM
Recent Activity
Organization Card
QOSI — Qazaq Open Source Initiative
Open-source AI, data, and infrastructure for Kazakhstan and Central Asia
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:
- Open by default where legally and ethically possible.
- Documented and reproducible so others can verify, reuse, and improve the work.
- Language-inclusive with special attention to Kazakh-language technology.
- Infrastructure-aware for real-world deployment in on-premise, sovereign, and regulated environments.
- 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
- 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.
Building open technology capacity for Kazakhstan and Central Asia.
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