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
Changed licensing to MIT
Browse files- .meta-huggingface.json +27 -27
.meta-huggingface.json
CHANGED
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@@ -1,28 +1,28 @@
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{
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"modelcard": {
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"language": ["en"],
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"license": "
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"library_name": "transformers",
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"tags": ["openpeer-llm", "decentralized", "transformer", "peer-to-peer"],
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"model-type": "causal-language-model",
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"authors": ["Andrew Magdy Kamal Nassief"],
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"organization": "Riemann Computing Inc.",
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"creation_date": "2025-09-13"
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},
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"base_model": null,
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"tags": [
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"pytorch",
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"causal-lm",
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"deep-learning",
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"transformers",
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"decentralized",
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"peer-to-peer"
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],
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"widget": {
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"structured_model_output": false,
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"example_inputs": [
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"Act as a software developer. Explain the concept of decentralized computing and how it can be applied to machine learning models."
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]
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},
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"datasets": ["fka/awesome-chatgpt-prompts"]
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}
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+
{
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"modelcard": {
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"language": ["en"],
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"license": "MIT",
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"library_name": "transformers",
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| 6 |
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"tags": ["openpeer-llm", "decentralized", "transformer", "peer-to-peer"],
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| 7 |
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"model-type": "causal-language-model",
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| 8 |
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"authors": ["Andrew Magdy Kamal Nassief"],
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| 9 |
+
"organization": "Riemann Computing Inc.",
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| 10 |
+
"creation_date": "2025-09-13"
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| 11 |
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},
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| 12 |
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"base_model": null,
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| 13 |
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"tags": [
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"pytorch",
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"causal-lm",
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"deep-learning",
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"transformers",
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"decentralized",
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"peer-to-peer"
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],
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| 21 |
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"widget": {
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| 22 |
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"structured_model_output": false,
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| 23 |
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"example_inputs": [
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| 24 |
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"Act as a software developer. Explain the concept of decentralized computing and how it can be applied to machine learning models."
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| 25 |
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]
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| 26 |
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},
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| 27 |
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"datasets": ["fka/awesome-chatgpt-prompts"]
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| 28 |
}
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