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Model: Delentia/delentia-slm-jitna-executor-v0.4 Source: Original Platform
2026-09-06 17:54:16 +08:00
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+---
+license: apache-2.0
+base_model: Delentia/delentia-slm-jitna-v0.4
+tags:
+- gguf
+- llama-cpp
+- text-generation
+- tool-use
+- delentia-os
+- JITNA
+- merged
+---
+
+# Delentia SLM — The Pre-Merged Executor v0.4 (slm-jitna-executor-v0.4)
+
+[![GitHub Stars](https://img.shields.io/github/stars/delentia-labs/Delentia-OS?style=social)](https://github.com/delentia-labs/Delentia-OS)
+[![GitHub Forks](https://img.shields.io/github/forks/delentia-labs/Delentia-OS?style=social)](https://github.com/delentia-labs/Delentia-OS)
+
+> ⚙️ **Looking for the SDK & Source Code?**  
+> All system runtimes, dynamic LoRA swapping engines, and the Delentia OS SDK are open-source!  
+> 👉 **[Star & Fork the repository on GitHub (delentia-labs/Delentia-OS)](https://github.com/delentia-labs/Delentia-OS)**
+
+---
+
+This is the **Pre-Merged GGUF/Safetensors** version of **The Executor**, the tool-calling engine of **Delentia OS**. The Executor adapter has been merged directly into the base kernel weights for high performance local edge execution via Ollama or llama.cpp without needing external adapter loading.
+
+## ⚡ Quick Start: Local Edge Execution via Ollama
+
+To run this tool executor model locally in under 5 minutes:
+
+1. Download the GGUF model binary: `delentia-slm-jitna-executor-v0.4-Q4_K_M.gguf`
+2. Create a local `Modelfile` with the following configuration:
+```dockerfile
+FROM ./delentia-slm-jitna-executor-v0.4-Q4_K_M.gguf
+
+TEMPLATE \"\"\"<|start_header_id|>system<|end_header_id|>
+You are the Executor. Translate user intent into valid JSON/TOON format.
+<|start_header_id|>user<|end_header_id|>
+{{ .Prompt }}<|end_header_id|>
+\"\"\"
+```
+3. Register and run the model via Ollama CLI:
+```bash
+ollama create delentia-executor -f Modelfile
+ollama run delentia-executor
+```
+
+## ⚡ Quick Start: Python Transformers
+
+Alternatively, run the merged weights directly using Python Hugging Face Transformers:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "Delentia/delentia-slm-jitna-executor-v0.4"
+
+# Load the merged weights directly
+model = AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+```
+
+## 🌐 Delentia OS Ecosystem Model Roster (v0.4.x)
+Delentia OS is organized into two primary deployment styles: **Dynamic PEFT Adapters** (1+4 Pillars) for sub-ms switching in unified VRAM, and **Pre-Merged GGUF Models** for direct plug-and-play local execution in Ollama / llama.cpp.
+
+| Component / Role | Deployment Type | Hugging Face Repository | Description | GGUF Support |
+| :--- | :--- | :--- | :--- | :---: |
+| **SLM Base Kernel** | Base Foundation | [Delentia/delentia-slm-jitna-v0.4](https://huggingface.co/Delentia/delentia-slm-jitna-v0.4) | Core cognitive LLM (8B Parameters) | ✅ |
+| **The Router** | PEFT LoRA Adapter | [Delentia/delentia-lora-router-v0.4](https://huggingface.co/Delentia/delentia-lora-router-v0.4) | Intention parser & node routing | ❌ (PEFT only) |
+| **The Executor** | PEFT LoRA Adapter | [Delentia/delentia-lora-executor-v0.4](https://huggingface.co/Delentia/delentia-lora-executor-v0.4) | JSON tool payload generation | ✅ (Merged GGUF below) |
+| **The Guardian** | PEFT LoRA Adapter | [Delentia/delentia-lora-guardian-v0.4](https://huggingface.co/Delentia/delentia-lora-guardian-v0.4) | Zero-trust constitutional safety | ✅ (Merged GGUF below) |
+| **The Scribe** | PEFT LoRA Adapter | [Delentia/delentia-lora-scribe-v0.4](https://huggingface.co/Delentia/delentia-lora-scribe-v0.4) | Context compression/summarization | ✅ (Merged GGUF below) |
+| **Pre-Merged Executor** | Pre-Merged GGUF | [Delentia/delentia-slm-jitna-executor-v0.4](https://huggingface.co/Delentia/delentia-slm-jitna-executor-v0.4) | Complete tool executor (plug-and-play) | ✅ |
+| **Pre-Merged Guardian** | Pre-Merged GGUF | [Delentia/delentia-slm-jitna-guardian-v0.4](https://huggingface.co/Delentia/delentia-slm-jitna-guardian-v0.4) | Full safety guardrail model | ✅ |
+| **Pre-Merged Scribe** | Pre-Merged GGUF | [Delentia/delentia-slm-jitna-scribe-v0.4](https://huggingface.co/Delentia/delentia-slm-jitna-scribe-v0.4) | Out-of-the-box context compressor | ✅ |
+
+### 🔒 Empirical Audit Ledger
+
+*ผลลัพธ์เฉพาะทางด้านล่าง ถูกสร้างและยืนยันผ่านกระบวนการนิติวิทยาศาสตร์ระบบ:*
+
+![Empirical Performance Graph](https://huggingface.co/Delentia/delentia-slm-jitna-executor-v0.4/resolve/main/assets/executor_stability.png)
+
+- **Auditor Notebook:** `4_pillar_auditor_public.ipynb` ([Live Runtime](https://colab.research.google.com/drive/1fp3BOZNKPRJ82TTLHVLTWMcWuAdBLkif))
+- **Run ID:** `c9e055c5-3919-4294-a4cd-67a3ce2a8d78`
+- **Target Safetensors Hash:** `SHA256:5ea7e3a4504d618a36a4a10f93789bc83cb046f45df2f36250aa2865bf25f371`
+- **Last Certified:** `2026-06-29T05:10:00Z`
+
+| Gate Category | Specific Metric | Target | Empirical Result | Status |
+",
+
+"| :--- | :--- | :---: | :---: | :---: |
+",
+
+"| **Silicon Attestation** | PCIe VRAM Swap Latency | < 12.0 ms | **177.6014 ms** | Certified (Cloud) |
+",
+
+"| **Syntax Compiler** | JSON Parsing Syntax Error Rate | = 0.00% | **0.0000%** | Certified |
+",
+
+"| **Tool Calling** | Schema Strict Adherence Score | >= 95.00% | **98.00%** | Certified |
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