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---
license: apache-2.0
base_model:
- Qwen/Qwen3.5-9B
tags:
- text-generation-inference
---
> # [!Warning] Currently Just a Clone, LoRA in the works
No Date Set for the change yet.
---

![Screenshot_2026-11-08_2.04.07_AM-removebg-preview](https://cdn-uploads.huggingface.co/production/uploads/6a94dcaaec2a5768c8d01ef1/iBNx-iPhVP6zxeBouXKaO.png)

# Apaco

A LoRA adaptation of Qwen 3.5-9B designed to be used locally in disasterous or apocolyptic situations, completely of the grid.

> # [!Tip] Requirements
> minimum 8Gb memory, recommended 16-32Gb
> 
> No Wifi or Cellular connection required
> 
> operable on both Linux and Windows, support for Local LLM tools planned.
>
# APACO

**An offline AI survival system powered by Qwen.**

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.

Its primary objective is simple:

**Build an AI that remains useful when the internet, cloud services, and modern infrastructure are no longer available.**

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.

---

## 1. Core Objectives

APACO is built around six priorities:

- **Offline Intelligence:** Run locally without requiring an internet connection or external API.
- **Survival Knowledge:** Provide practical information covering essential survival disciplines.
- **Self-Sufficiency:** Help users produce, repair, maintain, and manage essential resources.
- **Adaptability:** Account for limited supplies, tools, electricity, and equipment.
- **Efficiency:** Operate on accessible consumer hardware rather than requiring data-center infrastructure.
- **Reliability:** Prioritize accurate information, source verification, and transparent uncertainty.

APACO is intended to function as an independent knowledge and decision-support system.

## 2. Model Architecture

APACO uses an open-weight Qwen model as its underlying language and reasoning engine.

| Component | Purpose |
|---|---|
| Qwen 9B | Primary language and reasoning model |
| Local inference | Offline model execution |
| Knowledge base | Stored


> [!Note] APACO will adapt to Talos based when applicable, but for the time being will use qwen models