by farbodtavakkoli
Open source · 153k downloads · 0 likes
OTel LLM 7B IT is a language model specialized in the telecommunications sector, designed to meet the technical and operational needs of the industry. Trained on high-quality data from major standards and specifications such as those from GSMA, 3GPP, and O-RAN, it excels in understanding and analyzing complex technical documents. Its key capabilities include processing question-answering tasks on telecom standards, as well as integration into retrieval-augmented generation (RAG) applications to automate the extraction of critical information. This model stands out for its sector-specific expertise, developed through collaboration with over 200 experts and recognized institutions, making it a particularly well-suited tool for telecom professionals. It belongs to a family of open-source models dedicated to innovation in this field.
OTel-LLM-7B-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 | allenai/OLMo-3-7B |
| Parameters | 7B |
| 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]