VANTA Research
Independent AI research lab building safe, resilient language models optimized for human-AI collaboration
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 configurationscout_config.json- Scout-specific settingsmodel-*.safetensors- Merged model weightstokenizer.*- 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
- Test the model: Use the provided examples to verify Scout capabilities
- Deploy for operations: Integrate into your tactical intelligence workflows
- Customize further: Additional fine-tuning for specific operational contexts
Contact
- Organization: [email protected]
- Engineering/Design: [email protected]
Proudly developed by VANTA Research in Portland, Oregon
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Model tree for vanta-research/scout-8b
Base model
EssentialAI/rnj-1-instruct