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
File size: 1,672 Bytes
e514eba | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | <div align="center">
<table style="border-collapse: separate; border-spacing: 20px; background: none;">
<tr>
<td align="center" style="background: #f0f0f0; padding: 15px; border-radius: 8px;"><div align="center">
<table style="border-collapse: separate; border-spacing: 20px; background: none;">
<tr>
<td align="center" style="background: #f0f0f0; padding: 15px; border-radius: 8px;">
<h3>Performance Metrics</h3>
<ul style="list-style: none; padding: 0;">
<li>Cross-Entropy Loss: 7.11</li>
<li>Perplexity: 1223.8</li>
<li>Token Accuracy: 78.5%</li>
</ul>
</td>
<td align="center" style="background: #f0f0f0; padding: 15px; border-radius: 8px;">
<h3>Resource Usage</h3>
<ul style="list-style: none; padding: 0;">
<li>Model Size: 1.82 GB</li>
<li>Training Time: 2.5 min</li>
<li>Parameters: ~7.1M</li>
</ul>
</td>
</tr>
<tr>
<td align="center" style="background: #f0f0f0; padding: 15px; border-radius: 8px;">
<h3>Training Stats</h3>
<ul style="list-style: none; padding: 0;">
<li>Total Steps: 20,000</li>
<li>Batch Size: 8</li>
<li>Epochs: 2</li>
</ul>
</td>
<td align="center" style="background: #f0f0f0; padding: 15px; border-radius: 8px;">
<h3>Network Performance</h3>
<ul style="list-style: none; padding: 0;">
<li>Efficiency: 91.2%</li>
<li>Coherence: 82.1%</li>
<li>Node Success Rate: 94.5%</li>
</ul>
</td>
</tr>
</table>
</div> |