| --- |
| license: mit |
| language: |
| - en |
| base_model: |
| - unsloth/Qwen3.5-4B-GGUF |
| tags: |
| - roblox |
| - robloxstudio |
| - luau |
| - lua |
| - robloxdevelopment |
| --- |
| # 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 |
|
|
| * Hugging Face: [https://huggingface.co/preferredev/Roblox_Coder_gguf](https://huggingface.co/preferredev/Roblox_Coder_gguf) |
| * GitHub: https://github.com/preferredev/Roblox-Coder |
|
|
| --- |
|
|
| ## / 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. |
