by farbodtavakkoli
Open source · 159k downloads · 0 likes
OTel LLM 12B Safety is a specialized language model tailored for the telecommunications sector, designed to meet the technical and regulatory demands of the industry. Fine-tuned using data validated by over 200 domain experts, it excels in analyzing and generating precise responses on topics such as 3GPP standards, O-RAN specifications, or network security protocols. Its primary purpose is to enhance research applications through retrieval-augmented generation (RAG) and automated question-answering systems, leveraging reliable sources like GSMA documents or RFCs. What sets it apart is its ability to interpret complex industry concepts while ensuring alignment with industrial standards. Ideal for telecom operators, equipment manufacturers, or researchers, it accelerates the understanding of regulations and technical best practices.
OTel-LLM-12B-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 | google/gemma-3-12b-it |
| Parameters | 12B |
| 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]