by farbodtavakkoli
Open source · 332k downloads · 0 likes
OTel LLM 8.3B Safety is a language model specialized in the telecommunications sector, designed to meet the technical and regulatory needs of the industry. Trained on data from major standards and specifications such as those from GSMA, 3GPP, and O-RAN, it excels in analyzing and generating precise responses to complex topics related to networks, security, or APIs. Its primary applications include assisting telecom experts with question-answering tasks or integrating into augmented research systems (RAG) dedicated to this field. What sets it apart is its fine-tuning on corpora validated by hundreds of industry specialists, ensuring relevance and reliability tailored to the critical challenges of telecommunications. Ideal for professionals seeking to automate or optimize technical processes, it is part of a collection of open-source models dedicated to the telecom ecosystem.
OTel-LLM-8.3B-Safety 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 high-quality telecom-focused data curated by 200+ domain experts from organizations including AT&T, RelationalAI, AMD, GSMA, Purdue University, Khalifa University, University of Leeds, Yale University, The University of Texas at Dallas, NetoAI, and MantisNLP.
Data Sources:
This model is optimized for:
@misc{otel2026,
title={OTel: Open Telco AI Models},
author={Tavakkoli, Farbod and Diamos, Gregory and Paulk, Roderic and Terrazas, Jorden},
year={2026},
url={https://huggingface.co/farbodtavakkoli}
}
If you have any technical questions, please feel free to reach out to [email protected] or [email protected]