Text Generation
OpenPeerLLM
Safetensors
PyTorch
English
causal-lm
decentralized-learning
transformer
boinc
decent-torch
lonscript
Eval Results (legacy)
Instructions to use OpenPeerAI/OpenPeerLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenPeerLLM
How to use OpenPeerAI/OpenPeerLLM with OpenPeerLLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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| <h3>Performance Metrics</h3> | |
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| <li>Cross-Entropy Loss: 7.11</li> | |
| <li>Perplexity: 1223.8</li> | |
| <li>Token Accuracy: 78.5%</li> | |
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| <h3>Resource Usage</h3> | |
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| <li>Model Size: 1.82 GB</li> | |
| <li>Training Time: 2.5 min</li> | |
| <li>Parameters: ~7.1M</li> | |
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| <h3>Training Stats</h3> | |
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| <li>Total Steps: 20,000</li> | |
| <li>Batch Size: 8</li> | |
| <li>Epochs: 2</li> | |
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| <h3>Network Performance</h3> | |
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| <li>Efficiency: 91.2%</li> | |
| <li>Coherence: 82.1%</li> | |
| <li>Node Success Rate: 94.5%</li> | |
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