README.md

metadata

library_name: quantumpeer
license: cc-by-nc-4.0
language:
  - en
tags:
  - quantum-llm
  - quantum-computing
  - openpeerllm
  - chern-simons
  - neural-networks
  - pytorch
  - causal-lm
  - decentralized-learning
  - transformer
  - boinc
  - decent-torch
  - lonscript
pipeline_tag: text-generation
datasets:
  - OpenPeerAI/OpenPeerLLM
model-index:
  - name: OpenPeerLLM
    results:
      - task:
          name: Language Modeling
          type: text-generation
        dataset:
          name: Custom Text Dataset
          type: text
        metrics:
          - name: Epoch
            type: number
            value: 2
          - name: Model Size
            type: text
            value: 1.82 GB
          - name: Run Time
            type: text
            value: 2.5 minutes on Intel UHD Graphics 630
          - name: Loss
            type: cross-entropy
            value: 7.11

QuantumPeer: Quantum-Enhanced OpenPeerLLM

Model Description

QuantumPeer implements a novel approach to language model execution by combining OpenPeerLLM with quantum circuit simulation inspired by the Chern-Simons theory. This hybrid approach enables unique quantum-classical interactions in natural language processing.

Intended Uses

• Research in quantum-enhanced language models
• Development of hybrid quantum-classical AI systems
• Educational purposes in quantum computing
• Natural language processing with quantum inspiration

Training Procedure

The model utilizes:

• Base Model: OpenPeerLLM
• Quantum Circuit: Custom implementation with Chern-Simons topology
• Integration: Quantum state influence on attention mechanisms

Technical Specifications

• Framework: PyTorch + Custom Quantum Simulator
• Parameters: Based on OpenPeerLLM architecture
• Input Format: Text prompts
• Output Format: Generated text with quantum enhancement
• Model Architecture: Hybrid quantum-classical

Limitations & Biases

• Simulation-based quantum computing (not real quantum hardware)
• Performance dependent on classical computing resources
• Inherits any limitations from base OpenPeerLLM model

Out-of-Scope Uses

• Production-critical applications
• Safety-critical systems
• Applications requiring true quantum hardware

Additional Information

License: CC-BY-NC-4.0/CC-BY-NC-SA - All rights reserved

Creators:

• OpenPeerAI
• Andrew Magdy Kamal Nassief
• Riemann Computing