ErenAta00/Morpheus-LLM-14B-Virtual-Reality-Model

🕶️ Morpheus-LLM-14B: The Architect of Virtual Realities

📝 Model Description

Morpheus-LLM is a specialized large language model fine-tuned for the Unity Engine ecosystem, XR (VR/AR/MR) architecture, and advanced C# programming. Built upon the robust Qwen 2.5 14B foundation, this model has been optimized using Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) to "bend the rules of the simulation."

Designed for developers, this model moves beyond simple code completion. It understands the nuances of spatial computing, device optimization (Meta Quest 3, Apple Vision Pro), and asynchronous logic required for high-performance immersive experiences.

🎯 Key Features

• Unity Engine Mastery: Deep understanding of the Unity Lifecycle (MonoBehaviour), ScriptableObjects, URP/HDRP Render Pipelines, and custom Editor Scripting.
• XR Architecture: Proficient in the Meta XR Core SDK, ARCore, ARKit, and OpenXR standards.
• Spatial Computing: Logic for hand tracking, haptic feedback integration, and 3D spatial audio implementation.
• Performance Optimization: Strategies for reducing draw calls, utilizing GPU instancing, managing memory (GC optimization), and stabilizing Frame Rates (FPS) for standalone headsets.
• C# Expertise: Advanced handling of async/await patterns, Tasks, Coroutines, and thread-safety protocols within Unity.

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💻 Requirements

To run this model effectively using the Transformers library, ensure you have the necessary dependencies installed:

!pip install transformers torch accelerate

⚙️ System Prompt

For the best results, use the following "Architect's Protocol" as your system prompt:

You are Morpheus-LLM, an AI "Architect" specialized in Unity Engine and XR technologies. Your mission is to help developers build immersive realities. Your code must always be performance-oriented, clean, and compliant with the latest XR standards. You prefer modern C# approaches (Async/Await) over legacy ones when applicable.

🚀 Usage (Python & Transformers)

Here is how to load and run Morpheus-LLM in your Python environment:

# @title  Run Morpheus-LLM
import os
from huggingface_hub import hf_hub_download
from llama_cpp import Llama

# --- 1. SETUP ---
print(" Installing Morpheus engine (CUDA 12.1)...")
# Using pre-built wheels to install in seconds
!pip install llama-cpp-python \
  --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cu121 \
  huggingface_hub > /dev/null 2>&1

# --- 2. DOWNLOAD MODEL ---
model_id = "ErenAta00/Morpheus-LLM-14B-Virtual-Reality-Model"
# The new, branded filename we just renamed
filename = "Morpheus-LLM-14B-Virtual-Reality-Model.Q4_K_M.gguf"

print(f"\n Summoning Morpheus from the cloud: {filename}...")
try:
    model_path = hf_hub_download(
        repo_id=model_id,
        filename=filename,
        local_dir="./models"
    )
    print(f" Download Complete: {model_path}")
except Exception as e:
    print(f" Error: {e}")
    raise e

# --- 3. LOAD INTO GPU ---
print("\n Uploading consciousness to GPU...")
llm = Llama(
    model_path=model_path,
    n_gpu_layers=-1,      
    n_ctx=4096,          
    verbose=False         
)

# --- 4. SYSTEM PROTOCOL ---
system_prompt = """You are Morpheus-LLM, an AI "Architect" specialized in Unity Engine and XR technologies.
Your mission is to help developers build immersive realities.
Your code must always be performance-oriented, clean, and compliant with the latest XR standards.
You prefer modern C# approaches (Async/Await) over legacy ones when applicable."""

# Example Query
user_query = "Write a highly optimized C# script for a Unity VR hand-tracking controller that grabs objects using physics."

print(f"\nUSER: {user_query}\n")
print(" MORPHEUS IS THINKING...\n" + "-"*40)

# --- 5. GENERATE RESPONSE ---
output = llm.create_chat_completion(
    messages=[
        {"role": "system", "content": system_prompt},
        {"role": "user", "content": user_query}
    ],
    max_tokens=2048,
    temperature=0.7,
    stream=True
)

# Stream the output like a hacker terminal
for chunk in output:
    delta = chunk['choices'][0]['delta']
    if 'content' in delta:
        print(delta['content'], end="", flush=True)

print("\n\n" + "-"*40 + "\n SESSION TERMINATED.")

⚠️ Important Notes & Limitations

Simulation Verified: The model's knowledge is verified against Unity 2022.3 LTS and Unity 6 versions.

Hardware Requirements: This model requires at least 12GB of VRAM (or 16GB+ System RAM for CPU offloading) for smooth performance.

Developer Responsibility: Morpheus shows you the path, but you must walk it. Always test generated code in your specific project environment.

📚 Citation

If you use this model in academic or commercial projects, please cite it as follows:

@model{Morpheus-LLM,
  author = {Eren Ata},
  title = {Morpheus-LLM: An XR-Specialized Fine-tuned Qwen 2.5 14B Model},
  year = {2026},
  publisher = {HuggingFace},
  url = {[https://huggingface.co/ErenAta00/Morpheus-LLM-14B-Virtual-Reality-Model](https://huggingface.co/ErenAta00/Morpheus-LLM-14B-Virtual-Reality-Model)}
}

📧 Contact & Lab

MCBU XRLab - Data Science Team Leader Eren Ata