Skip to main content

SOTA Omni-Modal Personal AI Orchestrator & Engine

Project description

📦 Xorfice: The SOTA Omni-Modal Intelligence Engine

PyPI version License: MIT

Xorfice is the official, high-performance orchestration engine for Xoron-Dev. It provides a secure, production-grade interface for the world's most advanced 5B Sparse Mixture of Experts (MoE) model, enabling seamless reasoning across Text, Vision, Video, and Audio.


🚀 Why Xorfice?

Xorfice is designed for developers who demand state-of-the-art multimodal performance without the complexity of manual model management.

🛡️ Enterprise-Grade Trust

  • Official Interface: Developed and maintained by the Backup-bdg team.
  • Privacy First: All multimodal processing (Vision, Audio, Video) occurs locally on your hardware.
  • Validated Weights: Automatic checksum verification for all model weights downloaded from HuggingFace.

✨ SOTA Features

  • 🧠 Sparse MoE Orchestration: Native support for 8-expert routing with top-2 activation, delivering the power of a 5B model with the speed of a 1B model.
  • 👁️ SigLIP-2 & TiTok Vision: Deprecating legacy CLIP for superior zero-shot alignment and 2.2x token compression.
  • 🎬 VidTok Video Logic: 3D volumetric compression for understanding motion and causality.
  • 🎙️ Raw PCM Audio: Direct Conformer-based ingestion of 16kHz audio for sub-200ms Speech-to-Speech latency.
  • 🎨 Creative Power: Integrated pipelines for Text-to-Video (T2V) and Image-to-Video (I2V).

🛠️ Installation

Simply install the latest stable version from PyPI:

pip install xorfice

💡 Quick Start

Get up and running with the XoronEngine in seconds.

from xorfice import XoronEngine

# The engine automatically handles hardware optimization (CUDA/VRAM)
# Weights are verified and cached from Backup-bdg/Xoron-Dev-MultiMoe
engine = XoronEngine(model_path="Backup-bdg/Xoron-Dev-MultiMoe")

# Multimodal Reasoning
response = engine.generate(
    prompt="Analyze the speaker's emotions in this video.",
    videos="https://example.com/interview.mp4",
    audios="https://example.com/interview_audio.wav"
)

print(f"Xoron: {response['text']}")

⚙️ Performance & Optimization

Xorfice includes industry-leading optimization techniques:

  • Expert Offloading: Run 5B+ parameter models on 8GB VRAM consumer GPUs.
  • Paged KV Cache: Massive throughput for long-context (128K) reasoning.
  • Adaptive Precision: Automatic switching between FP16 and BF16 based on hardware capability.

🤝 Community & Support

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xorfice-0.1.41.tar.gz (260.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

xorfice-0.1.41-py3-none-any.whl (276.5 kB view details)

Uploaded Python 3

File details

Details for the file xorfice-0.1.41.tar.gz.

File metadata

  • Download URL: xorfice-0.1.41.tar.gz
  • Upload date:
  • Size: 260.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for xorfice-0.1.41.tar.gz
Algorithm Hash digest
SHA256 c6a5e395fea4ab155140eeb821c56aecbcf638589d6b461c0e720a0698e64bdd
MD5 903b4edb0cc2d2c7b047533de7783846
BLAKE2b-256 42fdbc3eb628954e5dfe11d3b44543e98cbb2546ee216f404a6b4f483bcc88ce

See more details on using hashes here.

File details

Details for the file xorfice-0.1.41-py3-none-any.whl.

File metadata

  • Download URL: xorfice-0.1.41-py3-none-any.whl
  • Upload date:
  • Size: 276.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for xorfice-0.1.41-py3-none-any.whl
Algorithm Hash digest
SHA256 79c5a67859a52d4114e4e78b814560c545a677e6f4415442cfdd5a716da64df3
MD5 468bd5c0ee9e997f4519440caf3b415e
BLAKE2b-256 3dfc6ab2b794b9c07cafd6285d65d2196fd463caf55eda92b09e6b7e0836fbfb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page