QuantumPeer / README.md
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---
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