| --- |
| 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 |
|
|
