xorfice 0.1.39

SOTA Omni-Modal Personal AI Orchestrator & Engine

📦 Xorfice: The SOTA Omni-Modal Orchestration Engine

xorfice is the official, high-performance Python package for Xoron-Dev. It is more than just a model wrapper—it is a complete inference and agentic orchestration layer designed for the next era of multimodal AI.

🚀 Installation

Stable version from PyPI:

pip install xorfice

Development version from source:

git clone https://gitlab.com/joeycristini56/Xoron-Dev.git
pip install -e ./xorfice_pkg

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🛠️ The SOTA Orchestrator: XoronEngine

The XoronEngine is a heavy-duty, production-ready inference manager that handles the entire lifecycle of the Xoron-Dev model.

🌟 Key Capabilities

• Automatic Weights Management: Snapshot downloads from HuggingFace Hub with local caching.
• Multimodal Routing: Single entry point for Text, Image, Video, and Audio.
• Dynamic Optimization: Auto-tunes hardware affinity based on CUDA, VRAM, and NUMA node detection.

⚙️ Developer Usage

from xorfice import XoronEngine

# Initialize the engine
# Auto-detects hardware and optimizes for max performance
# Correct model slug: Backup-bdg/Xoron-Dev-MultiMoe
engine = XoronEngine(
    model_path="Backup-bdg/Xoron-Dev-MultiMoe",
    max_vram_experts=4, # Offload 4/8 experts to CPU
    device="cuda"
)

# Multimodal Generation with Streaming
# The engine natively handles URLs, local paths, and raw tensors
for token in engine.generate(
    prompt="Explain this video and analyze the speaker's tone.",
    videos="https://example.com/demo.mp4",
    audios="path/to/voice.wav",
    stream=True
):
    print(token, end="", flush=True)

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🏗️ Native SOTA Optimizations

Xorfice implements elite-level performance features right out of the box:

1. MoE Expert Offloading

Our custom LRUExpertCache manages Mixture of Experts (MoE) layers dynamically. By keeping only the most frequently used experts in VRAM, we enable 5B+ parameter models to run smoothly on 8GB consumer GPUs.

2. Paged KV Cache

Inspired by vLLM, xorfice uses Paged Attention to manage Key-Value memory. This allows for massively increased throughput and support for thousands of tokens in long-chain reasoning.

3. Integrated Agentic Memory

Xorfice includes a FlatFileMemoryManager that persists user interactions across sessions, allowing Xoron-Dev to "learn" from conversations without full fine-tuning.

4. Zero-Shot Voice Cloning

Using our SOTA VoiceManager, you can clone voices instantly by uploading a short 5-second sample. No retraining required—pure latent-space adaptation.

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🎨 Creative Capabilities

Xorfice exposes raw diffusion pipelines through the engine.generate_image() and engine.generate_video() methods, allowing for Text-to-Video (T2V), Image-to-Video (I2V), Text-to-Image (T2I), Image-to-Image (I2I), and Video-to-Video (V2V) workflows.

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🤝 Open Source & Contributing

Interested in pushing the boundaries of SOTA AI? Check out our Architecture Deep Dive.

Xorfice: Powering the next generation of omni-modal agents.