Delentia Slm Jitna v0.3

--- language: - en - th license: apache-2.0 library_name: transformers base_model: meta-llama/Meta-Llama-3.1-8B pipeline_tag: text-generation pretty_name: "Delentia SLM JITNA 1+4 Pillars v0.4" doi: 10.5281/zenodo.20920052 tags: - llama - llama-3.1 - qlora - constitutional-ai - thai - jitna - delentia-os - multi-adapter - unsloth - llama-3 - peer-reviewed - zenodo - whitepaper --- # Delentia SLM v0.4: Thai Constitutional AI & JITNA Intent Router > 📄 **Official Foundations & Systems Architecture Paper:** > The theoretical foundations of Delentia OS, including sub-12ms dynamic LoRA swapping and differential context retention (Delta Engine), are peer-reviewed and officially published on CERN's Zenodo repository: > **[Read the Whitepaper (DOI: 10.5281/zenodo.20920052)](https://doi.org/10.5281/zenodo.20920052)** --- [](https://delentia.com) [](https://huggingface.co/collections/Delentia/delentia-cognitive-framework-enterprise-eai-6a2f6e3a235e3bcfa2f8fb1a) [](https://huggingface.co/spaces/Delentia/README) [](LICENSE) [](https://doi.org/10.5281/zenodo.20920052) 🇹🇭 [คลิกที่นี่เพื่ออ่านรายละเอียดภาษาไทย](#thai-documentation) | 🇬🇧 [Click here for English Documentation](#english-documentation) --- <h2 id="english-documentation">📖 English Documentation</h2> ### Overview **Delentia SLM v0.4** is an enterprise-grade, secure, and localized Small Language Model (Local SLM 8B) fine-tuned via Unsloth QLoRA on Llama 3.1. It serves as the core cognitive kernel for **Delentia OS**, enabling high-speed offline **Intent Routing** and zero-trust **Constitutional AI** boundaries without reliance on external cloud services. By employing a **Hierarchical Fine-Tuning paradigm (1+4 Pillars)**, the framework freezes the core cognitive foundation model and loads 4 specialized LoRA adapters (Router, Executor, Guardian, Scribe) dynamically in VRAM in **< 1.06 ms** on local consumer edge hardware...