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GPT-OSS 120B Example Reports

The largest open model tested, demonstrating exceptional comprehension, synthesis capabilities, and creative flexibility across technical and creative domains.

Model Details

  • Parameters: 120 Billion
  • Context: 131K tokens
  • Deployment: Self-hosted via vLLM
  • Hardware: 4x RTX 3090 (96GB VRAM total)
  • Best For: Comprehensive analysis, creative writing, publication-quality content

Available Reports

  • Zero-Loss Grids & Quantum Networks

    Style: Technical forecast to 2035
    Length: ~10,500 words

    Explores convergence of energy infrastructure, quantum networking, and next-gen battery technology with implementation roadmaps.

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  • Neuro-Derived Behavior-Elastic Demand

    Style: Technical business analysis
    Length: ~14,000 words

    Mathematical models integrating neuroscience insights with demand elasticity for optimal pricing strategies.

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  • Optimal Pricing Under Neuromarketing

    Style: Academic business research
    Length: ~7,800 words

    Empirical analysis of neuromarketing-derived pricing optimization with regulatory frameworks.

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  • Digital Surveillance Governance

    Style: Policy analysis framework
    Length: ~17,000 words

    KPI-based governance model for remote work surveillance balancing privacy and performance.

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  • Regal Eastern Seaboard Odyssey

    Style: Pompous royal prose
    Length: ~13,000 words

    Luxury travel narrative from Washington to Boston written in elaborate royal perspective.

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  • Sustainable Luxury Travel Guide

    Style: Premium travel guide
    Length: ~15,600 words

    Eco-luxury travel from Washington to Boston with sustainable tourism focus.

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Model Performance

Strengths

  • Exceptional Depth: Most comprehensive analysis among open models
  • Creative Flexibility: Superior style adaptation and creative writing
  • Complex Reasoning: Handles nuanced, multi-faceted topics with ease
  • Long-Form Excellence: Maintains coherence over 50K+ token outputs
  • Synthesis Capability: Best-in-class at combining diverse information sources

Best Use Cases

  • Comprehensive research reports requiring deep analysis
  • Complex technical documentation with multiple components
  • Creative writing with specific stylistic requirements
  • Multi-domain analysis requiring expert-level understanding
  • Publication-ready content requiring minimal editing

Deployment Configuration

python -m vllm.entrypoints.openai.api_server \
    --model "/path/to/model/openai_gpt-oss-120b" \
    --tensor-parallel-size 4 \
    --port 5000 \
    --host 0.0.0.0 \
    --gpu-memory-utilization 0.9 \
    --served-model-name "localmodel" \
    --disable-log-requests \
    --disable-custom-all-reduce \
    --guided-decoding-backend "xgrammar"

Hardware Requirements

Resource Intensive

  • Minimum: 4x RTX 3090 (96GB VRAM)
  • Recommended: 4x A100 (160GB+ VRAM)