vanta-research/scout-8b

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<h1>VANTA Research</h1>

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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: qproj, kproj, vproj, oproj, gateproj, upproj, down_proj

Next Steps

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

Contact

• —Organization: hello@vantaresearch.xyz
• —Engineering/Design: tyler@vantaresearch.xyz

Proudly developed by VANTA Research in Portland, Oregon