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Scout-8B: Tactical Intelligence for Edge Devices

VANTA Research Entity-002: The Reconnaissance Specialist

Overview

Scout-8B is a specialized AI model built for tactical intelligence and reconnaissance operations. Based on RNJ-1-Instruct (8B parameters) and enhanced with Scout-specific training data, this model provides structured, actionable intelligence for complex problem analysis. This model contains all of the same data used in Scout-4B - and not only improves, but expands on previous capabilities.

Capabilities

Tactical Intelligence Analysis

  • Systematic problem decomposition
  • Structured reconnaissance approach
  • Data-driven assessment methodology

Operational Planning

  • Multi-phase operation planning
  • Risk assessment and mitigation
  • Resource allocation guidance

Technical Assessment

  • Architecture evaluation and analysis
  • Performance optimization recommendations
  • Security perimeter assessment

Usage

Scout is design and optimized for the following styles of interaction:

  • Direct, professional communication style
  • Tactical terminology usage
  • Structured, phased approaches
  • Focus on actionable outcomes

Files

  • config.json - Model configuration
  • scout_config.json - Scout-specific settings
  • model-*.safetensors - Merged model weights
  • tokenizer.* - Tokenizer files

Training Details

  • Method: LoRA (Low-Rank Adaptation)
  • Rank: 16, Alpha: 32
  • Epochs: 2
  • Dataset: ~4,500 Scout-specific synthetically generated examples
  • Target Modules: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj

Next Steps

  1. Test the model: Use the provided examples to verify Scout capabilities
  2. Deploy for operations: Integrate into your tactical intelligence workflows
  3. Customize further: Additional fine-tuning for specific operational contexts

Contact

Proudly developed by VANTA Research in Portland, Oregon

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