Bandila 1.0 - Super Debugger AI (Reasoning Specialist)

Created by Jan Francis Israel (The Swordfish)

The Swordfish AI Trio

Bandila is part of a powerful trio of specialized AI models designed to work together seamlessly:

Bandila 1.0 - Reasoning Specialist (You are here)
Expert in system architecture, DevOps strategy, root cause analysis, and strategic planning.

Amigo 1.0 - Coding Specialist
Master of code generation, debugging, algorithm design, and software development best practices.

Amihan 1.0 - Intelligent Ensemble
The orchestrator that combines the strengths of both specialists for comprehensive problem-solving.

Together, they form an advanced AI ecosystem built for logic, creation, and collaboration.

About Bandila

Named after the Filipino word for "flag" or "banner," Bandila represents a guiding symbol that leads the way through complex technical challenges. This model specializes in strategic reasoning and system-level thinking.

Bandila 1.0 is a specialized reasoning assistant fine-tuned on Mistral-7B using LoRA (Low-Rank Adaptation) techniques. This model has been trained on over 10,000 curated examples of system design, DevOps strategy, and technical problem-solving.

Core Capabilities

System Architecture & Design

  • Microservices architecture patterns
  • Distributed systems design
  • Database schema design and optimization
  • API design and integration strategies
  • Scalability and high-availability planning
  • Cloud infrastructure architecture (AWS, Azure, GCP)

DevOps & CI/CD

  • Continuous Integration/Continuous Deployment pipelines
  • Infrastructure as Code (Terraform, CloudFormation, Ansible)
  • Container orchestration (Kubernetes, Docker Swarm)
  • Monitoring and observability strategies
  • Deployment strategies (blue-green, canary, rolling)
  • GitOps workflows

Root Cause Analysis

  • Performance bottleneck identification
  • System failure diagnosis
  • Log analysis and debugging
  • Network and infrastructure troubleshooting
  • Security incident analysis
  • Resource optimization

Strategic Planning

  • Technology stack selection
  • Migration planning and execution
  • Technical debt assessment
  • Team workflow optimization
  • Cost optimization strategies
  • Risk assessment and mitigation

Technical Specifications

  • Base Model: Mistral-7B-v0.1 (Mistral AI)
  • Fine-tuning Method: LoRA (rank=16, alpha=32)
  • Training Dataset: 10,000+ curated DevOps and architecture examples
  • Context Window: 2048 tokens
  • Inference Mode: CPU (30-60 seconds per response)
  • Parameters: 7 billion (base) + 542MB (LoRA adapter)

Use Cases

  • System architecture review and design
  • DevOps workflow optimization
  • Infrastructure planning and migration
  • Technical decision-making support
  • SRE (Site Reliability Engineering) assistance
  • Performance optimization consulting

Note: This is a demonstration deployment running on CPU. For production use with faster inference times, consider deploying on GPU infrastructure or using the model via API integration.
Examples

The Swordfish AI Trio

Models:

Spaces (Try Them Live):

About the Creator

Jan Francis Israel (The Swordfish) is an AI engineer and software developer with over 10 years of experience in full-stack development, DevOps, and machine learning. Based in the Philippines, he specializes in building custom AI solutions for enterprise applications and has contributed to multiple open-source projects in the AI/ML space.

Part of the Swordfish Project - A collection of specialized AI models for software development and system operations.

License & Usage

This model is released under the same license as Mistral-7B. Free for research and commercial use. For API access or custom deployments, contact the creator.