Create README.md

# Roblox-Coder

## / Project 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.

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

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## / Model Capabilities

This model is optimized for **Roblox systems engineering**, and performs best in backend-heavy development tasks.

### / 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

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## / 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 |

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### / 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

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## / 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

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## / Intended Use

This model is intended for:

* Roblox Studio developers
* Luau backend system design
* Learning secure Roblox architecture
* Rapid prototyping of game systems

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## / License

This project is released under the MIT License.

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## / 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.

README.md

@@ -1,23 +1,3 @@
 ---
-tags:
-- gguf
-- llama.cpp
-- unsloth
-- vision-language-model
----
-
-# Roblox_Coder_gguf : GGUF
-
-This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
-
-**Example usage**:
-- For text only LLMs:    `llama-cli -hf preferredev/Roblox_Coder_gguf --jinja`
-- For multimodal models: `llama-mtmd-cli -hf preferredev/Roblox_Coder_gguf --jinja`
-
-## Available Model files:
-- `Qwen3.5-4B.Q8_0.gguf`
-- `Qwen3.5-4B.Q5_K_M.gguf`
-- `Qwen3.5-4B.Q4_K_M.gguf`
-- `Qwen3.5-4B.F16-mmproj.gguf`
-This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+license: mit
+---