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license: apache-2.0
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base_model:
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- Qwen/Qwen3.5-9B
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# Apaco
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A LoRA adaptation of Qwen 3.5-9B designed to be used locally in disasterous or apocolyptic situations, completely of the grid.
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> # [!Tip] Requirements
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> minimum 8Gb memory, recommended 16-32Gb
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>
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> No Wifi or Cellular connection required
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> operable on both Linux and Windows, support for Local LLM tools planned.
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>
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# APACO
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**An offline AI survival system powered by Qwen.**
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APACO is an experimental survival-focused AI system designed to provide practical knowledge, reasoning, and decision support during emergencies, infrastructure failures, and prolonged disruptions to normal life.
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Its primary objective is simple:
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**Build an AI that remains useful when the internet, cloud services, and modern infrastructure are no longer available.**
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Rather than attempting to compete with general-purpose AI assistants, APACO focuses on practical survival, self-sufficiency, resource management, and maintaining essential systems with limited resources.
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---
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## 1. Core Objectives
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APACO is built around six priorities:
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- **Offline Intelligence:** Run locally without requiring an internet connection or external API.
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- **Survival Knowledge:** Provide practical information covering essential survival disciplines.
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- **Self-Sufficiency:** Help users produce, repair, maintain, and manage essential resources.
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- **Adaptability:** Account for limited supplies, tools, electricity, and equipment.
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- **Efficiency:** Operate on accessible consumer hardware rather than requiring data-center infrastructure.
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- **Reliability:** Prioritize accurate information, source verification, and transparent uncertainty.
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APACO is intended to function as an independent knowledge and decision-support system.
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## 2. Model Architecture
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APACO uses an open-weight Qwen model as its underlying language and reasoning engine.
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| Component | Purpose |
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| Qwen 9B | Primary language and reasoning model |
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| Local inference | Offline model execution |
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| Knowledge base | Stored
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> [!Note] APACO will adapt to Talos based when applicable, but for the time being will use qwen models
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