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jjh0855/OTel-LLM-8.3B-IT
OTel-LLM-8.3B-IT is a text generation model from jjh0855. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
OTel-LLM-8.3B-IT is a telecom-specialized language model fine-tuned on telecommunications domain data. It is part of the OTel Family of Models, an open-source initiative to build industry-standard AI models for the gl…
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From the Hugging Face model README
OTel-LLM-8.3B-IT is a telecom-specialized language model fine-tuned on telecommunications domain data. It is part of the OTel Family of Models, an open-source initiative to build industry-standard AI models for the global telecommunications sector.
| Attribute | Value |
|---|---|
| Base Model | EssentialAI/rnj-1-instruct |
| Parameters | 8.3B |
| Training Method | Full parameter fine-tuning |
| Language | English |
| License | Apache 2.0 |
The model was trained on telecom-focused data curated by 100+ domain experts. Each source class was contributed by a specific institutional partner:
| Source | Contributor |
|---|---|
| arXiv telecom papers, 3GPP standards, telecom Wikipedia, telecom Common Crawl | Yale University |
| GSMA Permanent Reference Documents, Discover portal | GSMA |
| IETF RFC series | NetoAI |
| Industry whitepapers | Khalifa University |
| O-RAN specifications (working groups 1, 2, 4, 5, 6, 7, 8, 9, 10) | University of Leeds |
| O-RAN documents across working groups | The University of Texas at Dallas |
Released datasets: OTel-LLM, OTel-Embedding, OTel-Reranker, OTel-Safety.
The OTel model family is designed to power end-to-end Retrieval-Augmented Generation (RAG) pipelines for telecommunications. The three model types serve complementary roles:
Users can deploy the full pipeline or use individual models independently based on their needs.
Note: The LLMs include abstention training — if the model does not receive sufficient context, it will decline to answer rather than hallucinate. This means the models are optimized for context-grounded generation, not open-ended question answering.
@misc{otel_models_2026,
title = {OTel: Open Telco AI Datasets, Benchmarks, and Models},
author = {Tavakkoli, Farbod and others},
year = {2026},
note = {Open Telco (OTel) model release},
url = {https://huggingface.co/farbodtavakkoli}
}
If you have any technical questions, please feel free to reach out to [email protected] or [email protected]