Planned evaluation surfaces
- Multilingual MMLU subsets
- XQuAD in Arabic and French
- Cross-lingual QA benchmarks
- Domain-specific evaluation suites
- Internal hallucination scoring metrics
Deployment Architecture
Built for private API access, on-premise installation, and hybrid inference.
Tassili is designed for real-world deployment inside enterprise and regulated stacks, with support for secure API access, dedicated local nodes, and hybrid deployment patterns.
Performance Benchmarking
Evaluation is planned across multilingual and domain-specific tasks.
Performance goals
- Competitive multilingual reasoning
- Reduced hallucination in regulatory contexts
- Improved Arabic morpho-syntactic robustness
Deployment Modes
Three operating models for enterprise and institutional rollout.
Private API deployment
Secure enterprise API access for controlled production use.
On-premise installation
Dedicated inference nodes installed inside customer infrastructure.
Hybrid model
Centralized core model combined with locally fine-tuned DSLM layers.
Inference optimization options include quantized variants (INT8 / 4-bit roadmap), GPU and CPU compatible builds, and an edge-ready SLM variant.
Enterprise Features
Designed to integrate into existing production stacks.
- Role-based access control
- Audit logging
- Data isolation
- Custom fine-tuning pipelines
- RAG integration
- Agentic orchestration compatibility
- REST API
- SDK
- Secure connectors
Use Cases
Production scenarios across regulated and industrial sectors.
Financial Institutions
Regulatory summarization, compliance assistance, and document automation.
Energy & Infrastructure
Technical documentation search, maintenance reporting, and multilingual support.
Legal & Regulatory Bodies
Policy analysis, cross-language interpretation, and structured reasoning.
Education & Research
Academic summarization, multilingual research assistance, and knowledge synthesis.