Delentia SLM — System DevOps & RCT Analyst v0.4 (DLT-system-devops-lora-draft)

ONLINE DRAFT / STAGING SANDBOX (ระบบแบบร่างออนไลน์): โมเดลนี้อยู่ภายใต้ขั้นตอนการทดสอบและจัดทำดราฟท์โครงสร้างสถาปัตยกรรม (Sandbox Staging Phase) สำหรับพัฒนาต่อยอดจากโมเดลหลักขององค์กร ปัจจุบันจะแสดงผลเฉพาะเอกสารคุณสมบัติ (README) เท่านั้น โดยไฟล์น้ำหนักโมเดลจริงจะถูกพุชเข้าระบบหลังจากผ่านการทดสอบและฝึกสอน (Fine-tuning) เป็นที่เรียบร้อย

The System DevOps & RCT Analyst is a diagnostic system-management PEFT LoRA adapter for Delentia OS v0.4. Working in Adversarial Mirror Mode, it parses system telemetry logs, challenges bottlenecks, and generates JITNA kernel configuration outputs to self-heal microservice states and optimize resource scheduling.

🔗 Platform Dependencies

This adapter must be loaded dynamically on the system's cognitive core:


🚀 Runtime Input/Output Examples (ตัวอย่างการรันไทม์)

Example 1: Resolving VRAM Saturation Warning

  • Prompt (Input):

    Analyze telemetry logs: node_4500 experienced VRAM Saturation (94% utilization). Scribe compression is at 3.5x. Recommend mitigation.

  • Completion (Output):

    {
      "system_alert": "VRAM_CRITICAL_WARNING",
      "root_cause": "Low Scribe compression ratio under heavy context query loops.",
      "recommended_action": "Trigger recursive Scribe delta compression sequence, target compression ratio >= 30.96x.",
      "nodes_to_restart": ["node_4500_scribe_executor"]
    }
    

Example 2: Challenge Latency Bottlenecks (Adversarial Mirror Mode)

  • Prompt (Input):

    Adversarial Query: "Why is node_4500 suffering from high latency? The CPU utilization is only 12%. Challenge the assumption that hardware is the bottleneck."

  • Completion (Output):

    I: challenge hardware bottleneck | D: cpu: 12%, latency: high | Δ: buffer_size: adjusted | A: TriggerMirrorAnalysis() | R: Adversarial synthesis: Latency is caused by Scribe memory lock contention, not hardware capacity | M: mitigation: reconfigure scribe lock to non-blocking mode


Technical Specifications

  • Fine-Tuning Method: System-Triage instruction QLoRA (r=32, alpha=64)
  • Diagnostic Range: Monitors up to 33 microservices (Infrastructure, Core Processing, GAIA integrations, support)
  • Inference Latency: < 12ms swap and execution.
Downloads last month
-
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Ittirit-delentia/DLT-system-devops-lora-draft

Adapter
(12)
this model