lone17k/Rooja
lone17k/Rooja is a 7.6 billion parameter language model fine-tuned from Qwen2.5-7B-Instruct, specifically optimized as a coding assistant for FiveM development. It excels in generating and explaining Lua scripts for GTA V servers, QBCore, and FiveM resources. This model is designed to assist developers with various aspects of FiveM coding, from client-side to server-side logic and debugging.
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Model Overview
Rooja is a specialized 7.6 billion parameter language model, fine-tuned by lone17k from the Qwen2.5-7B-Instruct base model. Its primary purpose is to serve as a dedicated coding assistant for FiveM development, focusing on Lua scripting, QBCore, and GTA V server development.
Key Capabilities & Specialization
This model is engineered to assist developers with a wide range of FiveM-related coding tasks. It was fine-tuned using QLoRA with 4-bit NF4 quantization over 2 epochs on a dataset of 5,969 FiveM-oriented coding examples.
Rooja excels at:
- FiveM Lua development: Generating and explaining both client-side and server-side Lua scripts.
- QBCore scripting: Assisting with QBCore events, callbacks, player/character systems, and configuration.
- GTA V server development: Providing support for resource architecture,
fxmanifest.lua, and server/client communication. - Code generation and explanation: Creating new code snippets and clarifying existing FiveM-related code.
- Debugging: Helping identify and resolve issues in FiveM resources.
When to Use Rooja
Rooja is ideal for developers actively working on FiveM servers who need a specialized AI assistant for coding tasks. It can significantly speed up development by generating boilerplate code, explaining complex logic, and assisting with debugging within the FiveM ecosystem.
Important Considerations:
- Review and Test: Due to the evolving nature of FiveM and QBCore APIs, generated code should always be reviewed and thoroughly tested before deployment.
- Assistant, Not Authority: Rooja should be treated as a coding assistant to augment development workflows, not as a definitive source of FiveM documentation.