Roblox-Coder
/ Model Overview
Roblox_Coder is a fine-tuned version of Qwen 3.5 4B, trained specifically for Roblox Studio development and Luau programming.
It is designed to act as a Roblox backend + systems development assistant, capable of generating structured, server-authoritative, and production-style Luau code for real Roblox game development workflows.
Developed by: preferredev
License: Apache 2.0
Language(s) (NLP): English (en), Luau (Roblox-specific fork of Lua)
/ Model Capabilities
This model is optimized for Roblox systems engineering, and performs best in backend-heavy development tasks.
The model was trained on a curated instruction dataset focused on high-quality Roblox systems design, covering backend architecture, secure scripting patterns, and scalable game development workflows.
- Server-authoritative game architecture
- DataStore systems and persistence
- RemoteEvent / RemoteFunction networking
- Secure combat and anti-exploit patterns
- NPC AI and Pathfinding systems
- Inventory, shop, and progression systems
- UI frameworks and Roblox client systems
- Performance-aware Luau scripting patterns
/ Core Strengths
- Generates structured Luau systems (services, modules, frameworks)
- Strong understanding of client-server separation
- Produces secure server-authoritative gameplay logic
- Implements DataStore-backed progression systems
- Builds scalable inventory, shop, and economy systems
- Designs NPC AI with PathfindingService
- Handles RemoteEvent validation and anti-exploit logic
- Creates modular Roblox architecture patterns (Service-based design)
/ Advanced Behavior
- Enforces anti-exploit security by default in generated code
- Prefers scalable architecture over quick scripts
- Uses strict typing patterns where applicable (
--!strict)
- Encourages server-side validation for all critical logic
- Produces production-style Luau structure rather than beginner scripts
/ Known Limitations
- Not optimized for animation, VFX, or art-heavy systems
- Limited knowledge of Studio UI/UX design workflows
- May over-engineer simple tasks into full systems
- Lower dataset size limits general Roblox coverage
/ System Requirements
This model can run locally in GGUF or quantized formats.
/ Model Sizes
| Quantization | Size | Recommended Use |
|---|
| Q4_K_M | ~2.78 GB | Fast inference, low VRAM systems |
| Q5_K_M | ~3.16 GB | Balanced quality/performance |
| Q8_0 | ~4.61 GB | High quality inference |
/ Hardware Requirements
Minimum:
- 8 GB RAM (system memory)
- CPU inference supported
- GGUF runtime (llama.cpp / LM Studio / Ollama)
Recommended:
- 12–16 GB RAM or VRAM
- GPU acceleration (NVIDIA preferred)
- Fast SSD for model loading
Optimal:
- 8 GB+ VRAM GPU (for smooth Q8 inference)
- CUDA-enabled inference backend
/ Model & Links
/ Intended Use
This model is intended for:
- Roblox Studio developers
- Luau backend system design
- Learning secure Roblox architecture
- Rapid prototyping of game systems
/ Notes
This is an early-stage v1 fine-tune created as a rapid experimental project. Future versions may expand dataset coverage to animation systems, tooling, UI frameworks, and full game development pipelines.
