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- ---
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- title: README
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- emoji: "🛰️"
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- colorTo: green
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- ---
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-
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- ![Ratio1 banner](./assets/banner.svg)
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  # Ratio1
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  **Decentralized AI infrastructure for builders and partner teams.**
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- Ratio1 helps teams build, deploy, and operate intelligent products without giving up control of their models, data paths, runtime, or economics.
 
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  [Website](https://ratio1.ai) • [GitHub](https://github.com/Ratio1) • [Documentation](https://github.com/Ratio1/docs)
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  ## Positioning
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- Ratio1 is built for teams that want AI infrastructure they can operate, extend, and trust. We focus on practical delivery: developer tooling, distributed execution, controllable data paths, and network economics that fit production workloads instead of locking them into a single hosted stack.
 
 
 
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  ## What We Do
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  - dataset cards for publishable data surfaces
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  - demos and static Spaces for product and partner narratives
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  - documentation links back to the `ratio1-docs` source
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Ratio1
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  **Decentralized AI infrastructure for builders and partner teams.**
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+ Ratio1 helps teams build, deploy, and operate intelligent products without giving
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+ up control of their models, data paths, runtime, or economics.
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  [Website](https://ratio1.ai) • [GitHub](https://github.com/Ratio1) • [Documentation](https://github.com/Ratio1/docs)
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  ## Positioning
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+ Ratio1 is built for teams that want AI infrastructure they can operate, extend,
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+ and trust. We focus on practical delivery: developer tooling, distributed
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+ execution, controllable data paths, and network economics that fit production
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+ workloads instead of locking them into a single hosted stack.
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  ## What We Do
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  - dataset cards for publishable data surfaces
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  - demos and static Spaces for product and partner narratives
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  - documentation links back to the `ratio1-docs` source
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+
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+ ### Public Models
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+
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+ | Model | Task | Artifact | Status | Notes |
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+ | --- | --- | --- | --- | --- |
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+ | [`ratio1/edgeguard-cypher-qwen3-4b-v0.4-gguf`](https://huggingface.co/ratio1/edgeguard-cypher-qwen3-4b-v0.4-gguf) | EdgeGuard text-to-Cypher for cybersecurity graph investigation | GGUF Q4_K_M | Public release | Use behind an EdgeGuard read-only/schema validator. This model is intended to assist guarded graph-query workflows, not to execute arbitrary database operations. |
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+ | [`ratio1/redmesh-cybersecqwen-4b-lora-v0.1`](https://huggingface.co/ratio1/redmesh-cybersecqwen-4b-lora-v0.1) | Defensive CVE/CWE and vulnerability triage | PEFT LoRA adapter | Experimental public release | Adapter-only release for research and reproducibility. Not production-promoted. |
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+
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+ ### Public Datasets
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+
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+ | Dataset | Task | Format | License | Notes |
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+ | --- | --- | --- | --- | --- |
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+ | [`ratio1/Drone_Detection_Survaillance`](https://huggingface.co/datasets/ratio1/Drone_Detection_Survaillance) | Drone object detection and surveillance imagery | Image and XML annotation files | CC-BY-NC-4.0 | Public computer-vision dataset with a declared train split. Dataset Viewer preview and parquet statistics may not be available for this file layout. |
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+
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+ ### Use Notes
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+
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+ - Read each model or dataset card before use.
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+ - Treat experimental models as research artifacts unless the card explicitly says they are production-promoted.
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+ - Keep EdgeGuard query-generation models behind schema validation, read-only execution controls, and bounded result inspection.
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+ - For LoRA adapters, load the adapter with the base model named in the model card.
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+ - Check license terms before using datasets or model outputs in commercial or redistributed work.