Genesis-AI-1.5B is a specialized, fine-tuned large language model designed specifically to act as the automated memory scanning backend for the Genesis Engine AI for PC application.

It is fine-tuned on top of a lightweight 1.5B parameter architecture to ensure it runs lightning-fast on local hardware, even while resource-intensive PC games are running in the foreground.

What it does Unlike standard conversational models, Genesis-AI-1.5B has been “lobotomized” of its general conversational abilities and hyper-specialized for one single task: translating natural language game cheating intents into automated memory scanning JSON payloads.

When a user types:

“Find my health, it is exactly 100 right now”

Genesis-AI intercepts the intent and silently returns raw operational data for the Genesis Engine:

json

{ “action”: “first_scan”, “type”: “exact”, “value”: 100, “do_write”: false } Dual-Brain Architecture This model is intended to be run in a Dual-Brain Architecture.

It handles all automated memory scanning (First Scans, Next Scans, Pointer isolation) invisibly in the background. It leaves the heavy conversational lifting (like C++ struct dissection or x86 assembly analysis) to a larger, general-purpose model like llama3 or qwen2.5. Usage Instructions This model is completely useless for standard chatting. It is intended to be used programmatically via the Ollama REST API (/api/generate) by the Genesis Engine application.

If you are using the Genesis Engine AI for PC application, simply pull this model and the Python backend will automatically route memory scan requests to it.

bash

ollama pull coraje187/genesis-ai-1.5b