by farbodtavakkoli
Open source · 164k downloads · 0 likes
OTel LLM 8.2B IT is a language model specialized in the telecommunications sector, designed to meet the technical and regulatory needs of the industry. Trained on data from recognized sources such as 3GPP specifications, GSMA documents, or RFCs, it excels in understanding and generating precise responses on topics related to networks, security, APIs, or domain standards. Its key capabilities include assistance with document research, explanation of technical standards, and support for Retrieval-Augmented Generation (RAG) applications for telecom professionals. The model stands out for its deep adaptation to the sector’s jargon and specific challenges, offering a specialized alternative to general-purpose models. It is particularly aimed at engineers, researchers, and companies seeking to automate or optimize telecommunications-related processes.
OTel-LLM-8.2B-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 | Qwen/Qwen3-8B |
| Parameters | 8.2B |
| 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]